{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyMerfFosyoW+0luma3bxRCp"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":18805,"status":"ok","timestamp":1698555279148,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"},"user_tz":-330},"id":"zsUB0S0VyAoi","outputId":"843a5914-050f-4a61-b329-da4e8dd44d3d"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","source":["import torch\n","\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","# Use GPU units if available\n","print(device)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5LaESzl29vfi","executionInfo":{"status":"ok","timestamp":1698555283256,"user_tz":-330,"elapsed":4111,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"}},"outputId":"887f7fcf-0517-4fc1-ec10-607cfa4b30dc"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["cpu\n"]}]},{"cell_type":"code","source":["import numpy as np\n","\n","# Load the .npy file\n","label_10 = np.load('/content/drive/MyDrive/DH302_Project/MTVital_main/MTHS/Data/label_10.npy')\n","sig_10 = np.load('/content/drive/MyDrive/DH302_Project/MTVital_main/MTHS/Data/signal_10.npy')"],"metadata":{"id":"Q5h60mN0YmJ2","executionInfo":{"status":"ok","timestamp":1698555284848,"user_tz":-330,"elapsed":1608,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["print(sig_10)\n","print('Number of samples in our signal: ',len(sig_10))\n","print(label_10)\n","print('Number of samples of our heart rate: ',len(label_10))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3JafiT_zgzsn","executionInfo":{"status":"ok","timestamp":1698555285545,"user_tz":-330,"elapsed":702,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"}},"outputId":"af69b47b-851f-4f81-ca69-578d346ac8dc"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["[[2.53124745e+02 2.50644145e+00 5.81781477e+01]\n"," [2.53289500e+02 2.45277199e+00 5.81860923e+01]\n"," [2.53236041e+02 2.50307774e+00 5.81471590e+01]\n"," ...\n"," [2.52633082e+02 2.26234086e-01 5.50807055e+01]\n"," [2.52620336e+02 2.26258681e-01 5.50482480e+01]\n"," [2.52576294e+02 2.07019676e-01 5.49957128e+01]]\n","Number of samples in our signal:  1800\n","[[69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [69. 95.]\n"," [70. 96.]\n"," [71. 97.]\n"," [72. 97.]\n"," [73. 97.]\n"," [72. 97.]\n"," [72. 97.]\n"," [72. 96.]\n"," [72. 96.]\n"," [72. 96.]\n"," [72. 96.]\n"," [72. 96.]\n"," [72. 96.]\n"," [72. 96.]\n"," [72. 96.]\n"," [72. 95.]\n"," [72. 95.]\n"," [72. 95.]\n"," [72. 95.]\n"," [72. 95.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [72. 94.]\n"," [76. 94.]\n"," [76. 94.]\n"," [76. 94.]\n"," [76. 94.]\n"," [76. 94.]]\n","Number of samples of our heart rate:  60\n"]}]},{"cell_type":"markdown","source":["##Making directories to save our models and plots"],"metadata":{"id":"d8AvI4o8hNBk"}},{"cell_type":"code","source":["import os\n","\n","os.makedirs('content/Signal_Plots/', exist_ok=True)\n","os.makedirs('content/MTHS_Models/', exist_ok=True)\n","os.makedirs('content/BIDMC_Models/', exist_ok=True)\n","os.makedirs('content/MTHS_Results/', exist_ok=True)\n","os.makedirs('content/BIDMC_Results/', exist_ok=True)"],"metadata":{"id":"Vm9edTLkhOPT","executionInfo":{"status":"ok","timestamp":1698555285545,"user_tz":-330,"elapsed":3,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"}}},"execution_count":5,"outputs":[]},{"cell_type":"markdown","source":["##Plotting R, B and G values for some of the patient IDs"],"metadata":{"id":"xtZ_qoV_K_Ss"}},{"cell_type":"code","source":["!python /content/drive/MyDrive/DH302_Project/MTVital_main/Code/plot_signal.py --patient_id=46 --dataset='mths' --savedir='content/Signal_Plots/'"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QgUNUJpTZ8yi","executionInfo":{"status":"ok","timestamp":1698555288467,"user_tz":-330,"elapsed":2925,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"}},"outputId":"70f7904d-9443-497e-d547-9c3724411337"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["Our sample's input signal sequence length is 1800\n","Figure(1200x2500)\n"]}]},{"cell_type":"markdown","source":["#Training and Evaluation on MTHS Dataset"],"metadata":{"id":"D5nOLNCOo6Lq"}},{"cell_type":"markdown","source":["##Training the Models with different Loss functions"],"metadata":{"id":"5npt6yNqYbA3"}},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2120184,"status":"ok","timestamp":1698565883340,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"},"user_tz":-330},"id":"4yp0ighpHjQo","outputId":"137067b7-4bfc-4741-945b-146cf61fc704"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n","Epoch 44/125\n","10/10 - 0s - loss: 7.1541 - mae: 7.6304 - val_loss: 14.2176 - val_mae: 14.7176 - 102ms/epoch - 10ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 7.2148 - mae: 7.6963 - val_loss: 12.3761 - val_mae: 12.8712 - 154ms/epoch - 15ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 7.4576 - mae: 7.9413 - val_loss: 11.3633 - val_mae: 11.8630 - 151ms/epoch - 15ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 7.1400 - mae: 7.6222 - val_loss: 13.0502 - val_mae: 13.5396 - 97ms/epoch - 10ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 7.3012 - mae: 7.7856 - val_loss: 12.4948 - val_mae: 12.9859 - 108ms/epoch - 11ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 7.6261 - mae: 8.1078 - val_loss: 11.0851 - val_mae: 11.5843 - 158ms/epoch - 16ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 7.2226 - mae: 7.7041 - val_loss: 12.2382 - val_mae: 12.7213 - 95ms/epoch - 10ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 7.0619 - mae: 7.5407 - val_loss: 11.8161 - val_mae: 12.3096 - 85ms/epoch - 9ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 7.4671 - mae: 7.9550 - val_loss: 10.8295 - val_mae: 11.3266 - 151ms/epoch - 15ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 7.6004 - mae: 8.0812 - val_loss: 10.8022 - val_mae: 11.2938 - 140ms/epoch - 14ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 7.2873 - mae: 7.7715 - val_loss: 11.5291 - val_mae: 12.0285 - 89ms/epoch - 9ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 7.7301 - mae: 8.2180 - val_loss: 13.2185 - val_mae: 13.7171 - 91ms/epoch - 9ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 7.4280 - mae: 7.9106 - val_loss: 12.0803 - val_mae: 12.5721 - 116ms/epoch - 12ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 7.1141 - mae: 7.5971 - val_loss: 11.4552 - val_mae: 11.9511 - 88ms/epoch - 9ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 6.9046 - mae: 7.3901 - val_loss: 10.9220 - val_mae: 11.4127 - 106ms/epoch - 11ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 6.8395 - mae: 7.3245 - val_loss: 11.3746 - val_mae: 11.8720 - 89ms/epoch - 9ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 6.8584 - mae: 7.3476 - val_loss: 13.3644 - val_mae: 13.8644 - 110ms/epoch - 11ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 7.5360 - mae: 8.0208 - val_loss: 11.7399 - val_mae: 12.2345 - 105ms/epoch - 10ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 7.0511 - mae: 7.5339 - val_loss: 10.6457 - val_mae: 11.1329 - 151ms/epoch - 15ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 7.4120 - mae: 7.8966 - val_loss: 11.8577 - val_mae: 12.3447 - 91ms/epoch - 9ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 6.8048 - mae: 7.2849 - val_loss: 11.6880 - val_mae: 12.1880 - 107ms/epoch - 11ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 6.8300 - mae: 7.3063 - val_loss: 11.7414 - val_mae: 12.2353 - 111ms/epoch - 11ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 6.7128 - mae: 7.1936 - val_loss: 11.8473 - val_mae: 12.3254 - 105ms/epoch - 10ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 6.7815 - mae: 7.2636 - val_loss: 11.0911 - val_mae: 11.5801 - 101ms/epoch - 10ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 6.9042 - mae: 7.3818 - val_loss: 12.8501 - val_mae: 13.3441 - 108ms/epoch - 11ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 6.8251 - mae: 7.3047 - val_loss: 10.6449 - val_mae: 11.1376 - 135ms/epoch - 14ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 7.4790 - mae: 7.9596 - val_loss: 11.1123 - val_mae: 11.6028 - 88ms/epoch - 9ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 6.9905 - mae: 7.4691 - val_loss: 13.1349 - val_mae: 13.6290 - 102ms/epoch - 10ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 6.6001 - mae: 7.0814 - val_loss: 10.6707 - val_mae: 11.1540 - 102ms/epoch - 10ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 7.6589 - mae: 8.1428 - val_loss: 13.1079 - val_mae: 13.6014 - 102ms/epoch - 10ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 6.7994 - mae: 7.2775 - val_loss: 12.2349 - val_mae: 12.7269 - 85ms/epoch - 8ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 6.6149 - mae: 7.1006 - val_loss: 10.6283 - val_mae: 11.1223 - 157ms/epoch - 16ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 6.6194 - mae: 7.0981 - val_loss: 11.5729 - val_mae: 12.0596 - 92ms/epoch - 9ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 6.6444 - mae: 7.1201 - val_loss: 11.9615 - val_mae: 12.4599 - 104ms/epoch - 10ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 6.5570 - mae: 7.0355 - val_loss: 11.0431 - val_mae: 11.5369 - 90ms/epoch - 9ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 6.6790 - mae: 7.1590 - val_loss: 11.1302 - val_mae: 11.6302 - 88ms/epoch - 9ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 6.5873 - mae: 7.0708 - val_loss: 12.0984 - val_mae: 12.5825 - 103ms/epoch - 10ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 6.6209 - mae: 7.1033 - val_loss: 11.5129 - val_mae: 12.0124 - 103ms/epoch - 10ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 6.5633 - mae: 7.0515 - val_loss: 11.5808 - val_mae: 12.0804 - 107ms/epoch - 11ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 6.2793 - mae: 6.7573 - val_loss: 12.0789 - val_mae: 12.5687 - 93ms/epoch - 9ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 6.2999 - mae: 6.7797 - val_loss: 11.3896 - val_mae: 11.8838 - 101ms/epoch - 10ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 6.4540 - mae: 6.9290 - val_loss: 10.9894 - val_mae: 11.4865 - 101ms/epoch - 10ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 6.7031 - mae: 7.1847 - val_loss: 11.2524 - val_mae: 11.7343 - 104ms/epoch - 10ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 6.3422 - mae: 6.8171 - val_loss: 12.2589 - val_mae: 12.7472 - 90ms/epoch - 9ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 6.2106 - mae: 6.6925 - val_loss: 11.0355 - val_mae: 11.5288 - 91ms/epoch - 9ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 6.3118 - mae: 6.7979 - val_loss: 11.3733 - val_mae: 11.8605 - 101ms/epoch - 10ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 6.3910 - mae: 6.8721 - val_loss: 11.4896 - val_mae: 11.9797 - 108ms/epoch - 11ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 6.5527 - mae: 7.0412 - val_loss: 12.7355 - val_mae: 13.2273 - 86ms/epoch - 9ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 6.5115 - mae: 6.9977 - val_loss: 11.2123 - val_mae: 11.7092 - 108ms/epoch - 11ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 6.2246 - mae: 6.6972 - val_loss: 11.7427 - val_mae: 12.2300 - 90ms/epoch - 9ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 6.5980 - mae: 7.0799 - val_loss: 11.4758 - val_mae: 11.9658 - 101ms/epoch - 10ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 6.2020 - mae: 6.6796 - val_loss: 11.1074 - val_mae: 11.5914 - 96ms/epoch - 10ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 6.4052 - mae: 6.8858 - val_loss: 10.5385 - val_mae: 11.0200 - 144ms/epoch - 14ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 7.3865 - mae: 7.8664 - val_loss: 11.5593 - val_mae: 12.0544 - 103ms/epoch - 10ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 6.8185 - mae: 7.3058 - val_loss: 12.7393 - val_mae: 13.2393 - 106ms/epoch - 11ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 6.5945 - mae: 7.0729 - val_loss: 10.4554 - val_mae: 10.9439 - 149ms/epoch - 15ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 7.3582 - mae: 7.8402 - val_loss: 10.2902 - val_mae: 10.7698 - 155ms/epoch - 16ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 6.6236 - mae: 7.1031 - val_loss: 11.9389 - val_mae: 12.4363 - 87ms/epoch - 9ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 6.3039 - mae: 6.7848 - val_loss: 10.4751 - val_mae: 10.9555 - 100ms/epoch - 10ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 5.9648 - mae: 6.4467 - val_loss: 11.6901 - val_mae: 12.1714 - 104ms/epoch - 10ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 6.5348 - mae: 7.0167 - val_loss: 10.6755 - val_mae: 11.1547 - 102ms/epoch - 10ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 6.6592 - mae: 7.1344 - val_loss: 10.8062 - val_mae: 11.2929 - 106ms/epoch - 11ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 6.7493 - mae: 7.2334 - val_loss: 11.6034 - val_mae: 12.0928 - 94ms/epoch - 9ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 6.0582 - mae: 6.5434 - val_loss: 11.1758 - val_mae: 11.6600 - 105ms/epoch - 10ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 6.3441 - mae: 6.8273 - val_loss: 11.5708 - val_mae: 12.0618 - 92ms/epoch - 9ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 6.3854 - mae: 6.8687 - val_loss: 11.4574 - val_mae: 11.9568 - 106ms/epoch - 11ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 6.0925 - mae: 6.5695 - val_loss: 10.9248 - val_mae: 11.4231 - 104ms/epoch - 10ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 6.2252 - mae: 6.7059 - val_loss: 11.5109 - val_mae: 12.0027 - 101ms/epoch - 10ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 5.9196 - mae: 6.3977 - val_loss: 12.1807 - val_mae: 12.6760 - 88ms/epoch - 9ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 6.3311 - mae: 6.8226 - val_loss: 10.8234 - val_mae: 11.3088 - 105ms/epoch - 10ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 6.2937 - mae: 6.7683 - val_loss: 10.8385 - val_mae: 11.3342 - 153ms/epoch - 15ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 5.9865 - mae: 6.4685 - val_loss: 11.3839 - val_mae: 11.8683 - 149ms/epoch - 15ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 6.0560 - mae: 6.5334 - val_loss: 10.8559 - val_mae: 11.3406 - 141ms/epoch - 14ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 6.4177 - mae: 6.8976 - val_loss: 11.5611 - val_mae: 12.0579 - 132ms/epoch - 13ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 5.9006 - mae: 6.3729 - val_loss: 10.9715 - val_mae: 11.4645 - 130ms/epoch - 13ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 6.2525 - mae: 6.7350 - val_loss: 11.4040 - val_mae: 11.8952 - 135ms/epoch - 14ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 5.9996 - mae: 6.4752 - val_loss: 11.0234 - val_mae: 11.5086 - 130ms/epoch - 13ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 6.5373 - mae: 7.0139 - val_loss: 10.8313 - val_mae: 11.3197 - 156ms/epoch - 16ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 7.0265 - mae: 7.5072 - val_loss: 12.4004 - val_mae: 12.8923 - 154ms/epoch - 15ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 5.7125 - mae: 6.1914 - val_loss: 10.7676 - val_mae: 11.2529 - 146ms/epoch - 15ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 5.9763 - mae: 6.4523 - val_loss: 10.9466 - val_mae: 11.4390 - 141ms/epoch - 14ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 6.1898 - mae: 6.6717 - val_loss: 11.4512 - val_mae: 11.9512 - 129ms/epoch - 13ms/step\n","\n","\n","Training BASE ============= with mean_squared_error\n","\n","Epoch 1/125\n","10/10 - 3s - loss: 5495.6855 - mae: 72.1045 - val_loss: 6110.5771 - val_mae: 76.7577 - 3s/epoch - 293ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 2379.4487 - mae: 44.6915 - val_loss: 5262.8091 - val_mae: 71.0196 - 148ms/epoch - 15ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 389.1425 - mae: 15.5205 - val_loss: 4340.6797 - val_mae: 64.1904 - 137ms/epoch - 14ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 491.2666 - mae: 18.5553 - val_loss: 4099.3647 - val_mae: 62.2901 - 133ms/epoch - 13ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 297.4260 - mae: 13.4342 - val_loss: 4176.9556 - val_mae: 62.9237 - 102ms/epoch - 10ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 286.0002 - mae: 12.4594 - val_loss: 3949.7710 - val_mae: 61.0968 - 149ms/epoch - 15ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 253.9018 - mae: 11.9387 - val_loss: 3538.8079 - val_mae: 57.6351 - 163ms/epoch - 16ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 243.4445 - mae: 11.8761 - val_loss: 3351.2014 - val_mae: 55.9894 - 150ms/epoch - 15ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 254.7858 - mae: 12.2962 - val_loss: 3182.6216 - val_mae: 54.4717 - 139ms/epoch - 14ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 229.6302 - mae: 11.5053 - val_loss: 2852.3789 - val_mae: 51.3561 - 148ms/epoch - 15ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 225.6716 - mae: 11.3944 - val_loss: 2656.6841 - val_mae: 49.4240 - 136ms/epoch - 14ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 226.3575 - mae: 11.3539 - val_loss: 2456.7195 - val_mae: 47.3714 - 158ms/epoch - 16ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 218.2198 - mae: 11.2839 - val_loss: 2225.8269 - val_mae: 44.8737 - 157ms/epoch - 16ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 212.0930 - mae: 11.0158 - val_loss: 2038.8572 - val_mae: 42.7548 - 148ms/epoch - 15ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 193.8534 - mae: 10.2880 - val_loss: 1888.9412 - val_mae: 40.9681 - 156ms/epoch - 16ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 200.3636 - mae: 10.6354 - val_loss: 1694.8727 - val_mae: 38.5311 - 136ms/epoch - 14ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 197.6247 - mae: 10.3531 - val_loss: 1604.6483 - val_mae: 37.3583 - 155ms/epoch - 16ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 193.0397 - mae: 10.2884 - val_loss: 1394.1172 - val_mae: 34.4378 - 137ms/epoch - 14ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 206.0756 - mae: 10.6669 - val_loss: 1374.8558 - val_mae: 34.1702 - 134ms/epoch - 13ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 178.8271 - mae: 9.8670 - val_loss: 1165.0486 - val_mae: 30.9491 - 147ms/epoch - 15ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 183.0859 - mae: 9.9514 - val_loss: 1067.7511 - val_mae: 29.3530 - 159ms/epoch - 16ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 196.1835 - mae: 10.4184 - val_loss: 1009.8805 - val_mae: 28.3636 - 140ms/epoch - 14ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 179.7824 - mae: 9.8483 - val_loss: 851.1718 - val_mae: 25.5233 - 160ms/epoch - 16ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 179.5083 - mae: 10.0144 - val_loss: 819.4102 - val_mae: 24.9537 - 145ms/epoch - 15ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 178.2243 - mae: 9.7688 - val_loss: 751.4731 - val_mae: 23.6613 - 138ms/epoch - 14ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 169.0887 - mae: 9.6274 - val_loss: 613.6893 - val_mae: 21.0665 - 153ms/epoch - 15ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 172.6954 - mae: 9.5899 - val_loss: 665.5880 - val_mae: 22.0393 - 100ms/epoch - 10ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 170.4547 - mae: 9.5816 - val_loss: 530.5406 - val_mae: 19.3540 - 134ms/epoch - 13ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 181.9977 - mae: 9.7982 - val_loss: 539.2726 - val_mae: 19.5504 - 104ms/epoch - 10ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 166.3690 - mae: 9.5279 - val_loss: 451.5039 - val_mae: 17.4943 - 152ms/epoch - 15ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 170.5962 - mae: 9.6023 - val_loss: 451.0619 - val_mae: 17.4704 - 152ms/epoch - 15ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 169.8583 - mae: 9.5813 - val_loss: 435.5683 - val_mae: 17.0679 - 134ms/epoch - 13ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 173.8662 - mae: 9.6992 - val_loss: 379.3530 - val_mae: 15.6040 - 159ms/epoch - 16ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 161.5193 - mae: 9.3223 - val_loss: 391.7600 - val_mae: 15.9276 - 153ms/epoch - 15ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 165.1508 - mae: 9.4557 - val_loss: 340.6290 - val_mae: 14.6365 - 201ms/epoch - 20ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 164.0245 - mae: 9.3312 - val_loss: 374.2070 - val_mae: 15.4915 - 134ms/epoch - 13ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 155.8793 - mae: 9.0585 - val_loss: 297.6564 - val_mae: 13.6244 - 196ms/epoch - 20ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 148.9510 - mae: 8.9511 - val_loss: 346.6111 - val_mae: 14.7709 - 125ms/epoch - 13ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 154.5314 - mae: 8.8666 - val_loss: 306.8288 - val_mae: 13.7847 - 139ms/epoch - 14ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 153.1290 - mae: 8.8929 - val_loss: 290.9875 - val_mae: 13.3933 - 193ms/epoch - 19ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 142.1985 - mae: 8.5591 - val_loss: 286.9382 - val_mae: 13.3228 - 199ms/epoch - 20ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 157.2182 - mae: 9.2866 - val_loss: 288.4584 - val_mae: 13.4554 - 126ms/epoch - 13ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 154.1032 - mae: 8.8063 - val_loss: 264.7870 - val_mae: 12.8013 - 194ms/epoch - 19ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 145.3098 - mae: 8.5954 - val_loss: 290.9930 - val_mae: 13.4549 - 126ms/epoch - 13ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 141.0002 - mae: 8.3652 - val_loss: 262.5394 - val_mae: 12.8422 - 214ms/epoch - 21ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 148.9638 - mae: 8.7731 - val_loss: 249.5782 - val_mae: 12.4228 - 224ms/epoch - 22ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 140.7741 - mae: 8.4975 - val_loss: 269.9851 - val_mae: 12.9969 - 135ms/epoch - 14ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 146.5864 - mae: 8.5557 - val_loss: 257.4057 - val_mae: 12.6018 - 130ms/epoch - 13ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 135.0950 - mae: 8.3565 - val_loss: 260.1676 - val_mae: 12.6810 - 135ms/epoch - 14ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 136.0230 - mae: 8.2181 - val_loss: 260.8033 - val_mae: 12.7159 - 145ms/epoch - 14ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 128.7933 - mae: 8.1330 - val_loss: 245.8025 - val_mae: 12.2214 - 207ms/epoch - 21ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 139.2634 - mae: 8.6811 - val_loss: 281.3134 - val_mae: 13.2001 - 150ms/epoch - 15ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 127.9157 - mae: 7.9335 - val_loss: 240.6810 - val_mae: 12.1200 - 215ms/epoch - 21ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 136.3719 - mae: 8.5330 - val_loss: 260.2536 - val_mae: 12.7357 - 146ms/epoch - 15ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 126.4522 - mae: 8.0622 - val_loss: 248.8213 - val_mae: 12.3273 - 141ms/epoch - 14ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 125.5243 - mae: 8.3332 - val_loss: 265.2085 - val_mae: 12.7255 - 134ms/epoch - 13ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 132.0837 - mae: 8.2764 - val_loss: 259.5673 - val_mae: 12.5770 - 153ms/epoch - 15ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 116.4697 - mae: 7.4332 - val_loss: 247.5382 - val_mae: 12.2191 - 156ms/epoch - 16ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 136.6639 - mae: 8.3809 - val_loss: 261.6716 - val_mae: 12.7215 - 141ms/epoch - 14ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 124.4648 - mae: 7.9915 - val_loss: 253.6026 - val_mae: 12.3384 - 111ms/epoch - 11ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 130.5488 - mae: 8.0147 - val_loss: 288.0442 - val_mae: 13.3432 - 86ms/epoch - 9ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 124.8268 - mae: 7.9518 - val_loss: 241.4524 - val_mae: 11.9204 - 98ms/epoch - 10ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 131.4305 - mae: 8.3700 - val_loss: 307.2046 - val_mae: 13.8718 - 86ms/epoch - 9ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 121.8890 - mae: 8.0200 - val_loss: 244.7578 - val_mae: 12.0222 - 92ms/epoch - 9ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 125.0646 - mae: 8.2039 - val_loss: 269.8969 - val_mae: 12.7050 - 109ms/epoch - 11ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 108.1292 - mae: 7.5616 - val_loss: 271.6656 - val_mae: 12.6042 - 93ms/epoch - 9ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 120.3426 - mae: 7.7859 - val_loss: 254.5140 - val_mae: 12.2058 - 105ms/epoch - 10ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 102.8644 - mae: 7.6706 - val_loss: 300.9155 - val_mae: 13.4668 - 94ms/epoch - 9ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 107.8819 - mae: 7.7147 - val_loss: 258.2986 - val_mae: 12.2974 - 106ms/epoch - 11ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 110.7074 - mae: 7.7761 - val_loss: 309.1538 - val_mae: 13.8341 - 113ms/epoch - 11ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 107.9060 - mae: 7.7546 - val_loss: 258.8924 - val_mae: 12.1551 - 102ms/epoch - 10ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 115.7812 - mae: 7.7733 - val_loss: 274.3058 - val_mae: 12.8301 - 104ms/epoch - 10ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 116.7111 - mae: 7.9774 - val_loss: 293.7172 - val_mae: 13.2700 - 103ms/epoch - 10ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 102.9572 - mae: 7.3199 - val_loss: 259.5989 - val_mae: 12.1654 - 100ms/epoch - 10ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 106.8270 - mae: 7.3923 - val_loss: 285.8379 - val_mae: 13.0453 - 101ms/epoch - 10ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 103.0054 - mae: 7.1146 - val_loss: 266.9196 - val_mae: 12.4599 - 103ms/epoch - 10ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 107.6851 - mae: 7.3881 - val_loss: 268.8243 - val_mae: 12.5518 - 102ms/epoch - 10ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 105.1155 - mae: 7.5116 - val_loss: 271.7157 - val_mae: 12.5637 - 89ms/epoch - 9ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 103.4964 - mae: 7.5416 - val_loss: 276.3922 - val_mae: 12.7418 - 108ms/epoch - 11ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 105.5986 - mae: 7.4675 - val_loss: 271.3260 - val_mae: 12.4308 - 113ms/epoch - 11ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 105.3996 - mae: 7.6199 - val_loss: 318.0727 - val_mae: 13.7529 - 97ms/epoch - 10ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 104.0068 - mae: 7.3666 - val_loss: 288.1449 - val_mae: 12.9316 - 104ms/epoch - 10ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 101.9483 - mae: 7.4462 - val_loss: 274.1216 - val_mae: 12.5671 - 103ms/epoch - 10ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 94.6569 - mae: 7.0617 - val_loss: 286.6289 - val_mae: 13.1726 - 102ms/epoch - 10ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 94.5747 - mae: 6.8739 - val_loss: 270.2733 - val_mae: 12.3557 - 94ms/epoch - 9ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 95.5780 - mae: 7.3053 - val_loss: 287.8011 - val_mae: 12.9979 - 105ms/epoch - 11ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 100.8400 - mae: 7.3057 - val_loss: 278.7719 - val_mae: 12.5016 - 103ms/epoch - 10ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 92.3963 - mae: 6.8625 - val_loss: 299.7466 - val_mae: 13.3068 - 107ms/epoch - 11ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 89.6206 - mae: 7.0321 - val_loss: 273.3162 - val_mae: 12.4154 - 103ms/epoch - 10ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 93.8678 - mae: 7.1883 - val_loss: 289.2034 - val_mae: 12.7870 - 111ms/epoch - 11ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 94.9509 - mae: 7.2261 - val_loss: 286.5604 - val_mae: 12.8231 - 108ms/epoch - 11ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 107.1898 - mae: 7.5917 - val_loss: 275.8069 - val_mae: 12.4230 - 103ms/epoch - 10ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 89.7857 - mae: 7.0723 - val_loss: 276.9503 - val_mae: 12.3068 - 86ms/epoch - 9ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 89.4455 - mae: 7.0260 - val_loss: 275.1662 - val_mae: 12.3067 - 105ms/epoch - 10ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 84.2971 - mae: 6.8715 - val_loss: 294.8230 - val_mae: 12.9657 - 104ms/epoch - 10ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 90.8529 - mae: 6.9068 - val_loss: 282.7933 - val_mae: 12.4238 - 103ms/epoch - 10ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 88.7822 - mae: 7.0245 - val_loss: 296.3189 - val_mae: 12.7129 - 90ms/epoch - 9ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 88.6098 - mae: 7.1015 - val_loss: 279.2248 - val_mae: 12.2847 - 86ms/epoch - 9ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 79.2436 - mae: 6.5505 - val_loss: 297.0885 - val_mae: 13.0847 - 91ms/epoch - 9ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 78.8891 - mae: 6.6275 - val_loss: 296.2188 - val_mae: 12.8208 - 97ms/epoch - 10ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 82.4020 - mae: 6.8147 - val_loss: 302.4058 - val_mae: 13.0884 - 86ms/epoch - 9ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 84.7025 - mae: 6.6947 - val_loss: 289.4583 - val_mae: 12.5076 - 84ms/epoch - 8ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 91.6976 - mae: 7.2584 - val_loss: 323.7222 - val_mae: 13.9240 - 104ms/epoch - 10ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 98.1838 - mae: 7.4464 - val_loss: 318.9644 - val_mae: 13.5671 - 87ms/epoch - 9ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 88.1536 - mae: 6.8466 - val_loss: 297.1074 - val_mae: 12.6527 - 88ms/epoch - 9ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 93.9666 - mae: 7.1828 - val_loss: 296.7836 - val_mae: 12.5664 - 102ms/epoch - 10ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 72.5494 - mae: 6.3273 - val_loss: 325.9704 - val_mae: 13.7283 - 102ms/epoch - 10ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 92.5386 - mae: 7.0016 - val_loss: 291.3384 - val_mae: 12.4590 - 101ms/epoch - 10ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 83.6287 - mae: 6.7236 - val_loss: 305.1201 - val_mae: 13.0363 - 101ms/epoch - 10ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 87.0106 - mae: 6.9951 - val_loss: 333.9790 - val_mae: 14.0670 - 100ms/epoch - 10ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 86.4002 - mae: 7.0717 - val_loss: 294.2014 - val_mae: 12.6487 - 99ms/epoch - 10ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 74.9733 - mae: 6.3087 - val_loss: 297.6300 - val_mae: 12.4522 - 85ms/epoch - 8ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 79.0961 - mae: 6.6448 - val_loss: 303.8395 - val_mae: 12.8487 - 85ms/epoch - 9ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 84.4681 - mae: 6.9755 - val_loss: 315.9185 - val_mae: 13.1493 - 85ms/epoch - 9ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 77.2770 - mae: 6.4431 - val_loss: 311.2859 - val_mae: 12.9176 - 88ms/epoch - 9ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 78.4009 - mae: 6.8380 - val_loss: 313.4341 - val_mae: 13.0760 - 100ms/epoch - 10ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 75.0284 - mae: 6.4824 - val_loss: 301.5468 - val_mae: 12.9068 - 101ms/epoch - 10ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 90.5358 - mae: 7.0512 - val_loss: 312.5657 - val_mae: 13.0575 - 93ms/epoch - 9ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 64.5064 - mae: 6.1372 - val_loss: 297.1172 - val_mae: 12.6398 - 101ms/epoch - 10ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 78.1656 - mae: 6.5319 - val_loss: 316.6426 - val_mae: 13.1800 - 90ms/epoch - 9ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 76.4254 - mae: 6.6959 - val_loss: 308.2737 - val_mae: 12.8257 - 98ms/epoch - 10ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 72.8464 - mae: 6.4431 - val_loss: 305.6325 - val_mae: 12.9196 - 101ms/epoch - 10ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 77.8322 - mae: 6.9246 - val_loss: 335.3336 - val_mae: 13.8601 - 88ms/epoch - 9ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 74.2857 - mae: 6.7307 - val_loss: 310.9881 - val_mae: 13.0392 - 90ms/epoch - 9ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 72.4619 - mae: 6.3757 - val_loss: 333.3648 - val_mae: 13.4482 - 103ms/epoch - 10ms/step\n","\n","\n","Training BASE ============= with mean_absolute_error\n","\n","Epoch 1/125\n","10/10 - 4s - loss: 71.7977 - mae: 71.7977 - val_loss: 77.7319 - val_mae: 77.7319 - 4s/epoch - 378ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 47.5672 - mae: 47.5672 - val_loss: 73.1742 - val_mae: 73.1742 - 139ms/epoch - 14ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 18.9565 - mae: 18.9565 - val_loss: 66.0976 - val_mae: 66.0976 - 155ms/epoch - 15ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 16.1191 - mae: 16.1191 - val_loss: 65.4709 - val_mae: 65.4709 - 134ms/epoch - 13ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 13.1775 - mae: 13.1775 - val_loss: 63.9189 - val_mae: 63.9189 - 162ms/epoch - 16ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 12.4082 - mae: 12.4082 - val_loss: 60.9199 - val_mae: 60.9199 - 147ms/epoch - 15ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 12.1782 - mae: 12.1782 - val_loss: 59.1419 - val_mae: 59.1419 - 137ms/epoch - 14ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 12.2233 - mae: 12.2233 - val_loss: 56.2967 - val_mae: 56.2967 - 148ms/epoch - 15ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 11.2507 - mae: 11.2507 - val_loss: 54.5027 - val_mae: 54.5027 - 160ms/epoch - 16ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 11.2073 - mae: 11.2073 - val_loss: 51.1375 - val_mae: 51.1375 - 149ms/epoch - 15ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 10.8519 - mae: 10.8519 - val_loss: 49.7778 - val_mae: 49.7778 - 152ms/epoch - 15ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 10.9748 - mae: 10.9748 - val_loss: 47.0000 - val_mae: 47.0000 - 148ms/epoch - 15ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 10.2934 - mae: 10.2934 - val_loss: 45.1794 - val_mae: 45.1794 - 150ms/epoch - 15ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 10.6741 - mae: 10.6741 - val_loss: 43.1097 - val_mae: 43.1097 - 163ms/epoch - 16ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 10.8275 - mae: 10.8275 - val_loss: 39.4899 - val_mae: 39.4899 - 162ms/epoch - 16ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 10.0408 - mae: 10.0408 - val_loss: 39.7650 - val_mae: 39.7650 - 100ms/epoch - 10ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 10.0990 - mae: 10.0990 - val_loss: 36.7218 - val_mae: 36.7218 - 145ms/epoch - 15ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 9.7876 - mae: 9.7876 - val_loss: 34.7234 - val_mae: 34.7234 - 136ms/epoch - 14ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 9.9628 - mae: 9.9628 - val_loss: 32.3226 - val_mae: 32.3226 - 157ms/epoch - 16ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 9.6946 - mae: 9.6946 - val_loss: 32.2703 - val_mae: 32.2703 - 136ms/epoch - 14ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 9.9342 - mae: 9.9342 - val_loss: 27.8959 - val_mae: 27.8959 - 149ms/epoch - 15ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 9.4925 - mae: 9.4925 - val_loss: 28.7245 - val_mae: 28.7245 - 88ms/epoch - 9ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 9.7290 - mae: 9.7290 - val_loss: 26.4342 - val_mae: 26.4342 - 149ms/epoch - 15ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 9.4860 - mae: 9.4860 - val_loss: 24.2584 - val_mae: 24.2584 - 162ms/epoch - 16ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 9.2649 - mae: 9.2649 - val_loss: 23.6549 - val_mae: 23.6549 - 141ms/epoch - 14ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 9.1365 - mae: 9.1365 - val_loss: 23.3829 - val_mae: 23.3829 - 153ms/epoch - 15ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 9.1379 - mae: 9.1379 - val_loss: 21.1480 - val_mae: 21.1480 - 141ms/epoch - 14ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 9.0763 - mae: 9.0763 - val_loss: 20.8463 - val_mae: 20.8463 - 152ms/epoch - 15ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 8.9225 - mae: 8.9225 - val_loss: 19.5007 - val_mae: 19.5007 - 148ms/epoch - 15ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 8.8750 - mae: 8.8750 - val_loss: 20.6449 - val_mae: 20.6449 - 94ms/epoch - 9ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 8.7232 - mae: 8.7232 - val_loss: 16.9844 - val_mae: 16.9844 - 143ms/epoch - 14ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 8.9847 - mae: 8.9847 - val_loss: 19.5392 - val_mae: 19.5392 - 103ms/epoch - 10ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 8.9322 - mae: 8.9322 - val_loss: 15.4381 - val_mae: 15.4381 - 138ms/epoch - 14ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 8.6467 - mae: 8.6467 - val_loss: 16.4584 - val_mae: 16.4584 - 87ms/epoch - 9ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 8.7867 - mae: 8.7867 - val_loss: 15.9466 - val_mae: 15.9466 - 85ms/epoch - 9ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 8.5078 - mae: 8.5078 - val_loss: 17.1728 - val_mae: 17.1728 - 88ms/epoch - 9ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 8.4534 - mae: 8.4534 - val_loss: 15.5200 - val_mae: 15.5200 - 89ms/epoch - 9ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 8.3125 - mae: 8.3125 - val_loss: 14.3680 - val_mae: 14.3680 - 136ms/epoch - 14ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 8.5803 - mae: 8.5803 - val_loss: 16.8234 - val_mae: 16.8234 - 101ms/epoch - 10ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 8.5459 - mae: 8.5459 - val_loss: 13.3647 - val_mae: 13.3647 - 146ms/epoch - 15ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 8.6859 - mae: 8.6859 - val_loss: 13.2212 - val_mae: 13.2212 - 140ms/epoch - 14ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 8.0756 - mae: 8.0756 - val_loss: 15.3011 - val_mae: 15.3011 - 103ms/epoch - 10ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 8.4257 - mae: 8.4257 - val_loss: 13.3364 - val_mae: 13.3364 - 103ms/epoch - 10ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 8.4027 - mae: 8.4027 - val_loss: 12.9393 - val_mae: 12.9393 - 152ms/epoch - 15ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 7.7223 - mae: 7.7223 - val_loss: 13.6938 - val_mae: 13.6938 - 108ms/epoch - 11ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 8.2311 - mae: 8.2311 - val_loss: 12.9857 - val_mae: 12.9857 - 85ms/epoch - 9ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 8.2366 - mae: 8.2366 - val_loss: 13.3840 - val_mae: 13.3840 - 87ms/epoch - 9ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 8.3548 - mae: 8.3548 - val_loss: 13.6854 - val_mae: 13.6854 - 90ms/epoch - 9ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 8.4706 - mae: 8.4706 - val_loss: 12.5897 - val_mae: 12.5897 - 143ms/epoch - 14ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 8.4158 - mae: 8.4158 - val_loss: 13.4583 - val_mae: 13.4583 - 87ms/epoch - 9ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 7.9372 - mae: 7.9372 - val_loss: 13.3555 - val_mae: 13.3555 - 89ms/epoch - 9ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 7.7773 - mae: 7.7773 - val_loss: 12.4516 - val_mae: 12.4516 - 152ms/epoch - 15ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 7.7511 - mae: 7.7511 - val_loss: 12.6991 - val_mae: 12.6991 - 106ms/epoch - 11ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 7.9672 - mae: 7.9672 - val_loss: 13.5226 - val_mae: 13.5226 - 102ms/epoch - 10ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 8.3711 - mae: 8.3711 - val_loss: 12.3518 - val_mae: 12.3518 - 147ms/epoch - 15ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 8.1931 - mae: 8.1931 - val_loss: 12.1603 - val_mae: 12.1603 - 144ms/epoch - 14ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 8.5535 - mae: 8.5535 - val_loss: 12.3875 - val_mae: 12.3875 - 105ms/epoch - 10ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 7.7729 - mae: 7.7729 - val_loss: 13.2259 - val_mae: 13.2259 - 92ms/epoch - 9ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 7.8586 - mae: 7.8586 - val_loss: 12.4779 - val_mae: 12.4779 - 106ms/epoch - 11ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 7.5733 - mae: 7.5733 - val_loss: 12.7849 - val_mae: 12.7849 - 91ms/epoch - 9ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 7.2915 - mae: 7.2915 - val_loss: 12.7170 - val_mae: 12.7170 - 87ms/epoch - 9ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 7.4903 - mae: 7.4903 - val_loss: 12.8602 - val_mae: 12.8602 - 100ms/epoch - 10ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 7.6902 - mae: 7.6902 - val_loss: 12.9004 - val_mae: 12.9004 - 107ms/epoch - 11ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 7.8975 - mae: 7.8975 - val_loss: 12.6720 - val_mae: 12.6720 - 116ms/epoch - 12ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 7.7089 - mae: 7.7089 - val_loss: 13.8993 - val_mae: 13.8993 - 143ms/epoch - 14ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 7.5299 - mae: 7.5299 - val_loss: 12.7394 - val_mae: 12.7394 - 141ms/epoch - 14ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 7.9326 - mae: 7.9326 - val_loss: 12.7911 - val_mae: 12.7911 - 139ms/epoch - 14ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 7.4886 - mae: 7.4886 - val_loss: 12.7290 - val_mae: 12.7290 - 136ms/epoch - 14ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 7.5320 - mae: 7.5320 - val_loss: 12.5189 - val_mae: 12.5189 - 136ms/epoch - 14ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 7.7165 - mae: 7.7165 - val_loss: 12.6577 - val_mae: 12.6577 - 141ms/epoch - 14ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 7.9493 - mae: 7.9493 - val_loss: 12.5695 - val_mae: 12.5695 - 144ms/epoch - 14ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 7.2445 - mae: 7.2445 - val_loss: 12.5536 - val_mae: 12.5536 - 145ms/epoch - 15ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 7.1834 - mae: 7.1834 - val_loss: 12.5288 - val_mae: 12.5288 - 131ms/epoch - 13ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 7.2759 - mae: 7.2759 - val_loss: 12.5325 - val_mae: 12.5325 - 150ms/epoch - 15ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 7.5719 - mae: 7.5719 - val_loss: 12.4088 - val_mae: 12.4088 - 128ms/epoch - 13ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 7.9047 - mae: 7.9047 - val_loss: 12.9261 - val_mae: 12.9261 - 129ms/epoch - 13ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 7.2986 - mae: 7.2986 - val_loss: 12.6747 - val_mae: 12.6747 - 143ms/epoch - 14ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 7.1400 - mae: 7.1400 - val_loss: 12.8858 - val_mae: 12.8858 - 132ms/epoch - 13ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 7.2143 - mae: 7.2143 - val_loss: 12.9068 - val_mae: 12.9068 - 143ms/epoch - 14ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 7.8734 - mae: 7.8734 - val_loss: 12.7219 - val_mae: 12.7219 - 129ms/epoch - 13ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 7.7831 - mae: 7.7831 - val_loss: 12.4603 - val_mae: 12.4603 - 128ms/epoch - 13ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 7.3150 - mae: 7.3150 - val_loss: 12.5838 - val_mae: 12.5838 - 155ms/epoch - 15ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 7.7294 - mae: 7.7294 - val_loss: 12.3695 - val_mae: 12.3695 - 136ms/epoch - 14ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 7.2821 - mae: 7.2821 - val_loss: 12.3402 - val_mae: 12.3402 - 129ms/epoch - 13ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 6.7077 - mae: 6.7077 - val_loss: 12.4808 - val_mae: 12.4808 - 146ms/epoch - 15ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 7.1187 - mae: 7.1187 - val_loss: 12.4343 - val_mae: 12.4343 - 131ms/epoch - 13ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 7.0424 - mae: 7.0424 - val_loss: 12.6097 - val_mae: 12.6097 - 128ms/epoch - 13ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 6.8951 - mae: 6.8951 - val_loss: 12.5143 - val_mae: 12.5143 - 146ms/epoch - 15ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 6.9206 - mae: 6.9206 - val_loss: 12.4990 - val_mae: 12.4990 - 162ms/epoch - 16ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 7.3148 - mae: 7.3148 - val_loss: 12.3744 - val_mae: 12.3744 - 151ms/epoch - 15ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 6.9278 - mae: 6.9278 - val_loss: 12.3877 - val_mae: 12.3877 - 141ms/epoch - 14ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 7.0372 - mae: 7.0372 - val_loss: 12.3929 - val_mae: 12.3929 - 135ms/epoch - 13ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 7.1198 - mae: 7.1198 - val_loss: 12.4598 - val_mae: 12.4598 - 130ms/epoch - 13ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 7.0859 - mae: 7.0859 - val_loss: 12.4436 - val_mae: 12.4436 - 104ms/epoch - 10ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 6.7546 - mae: 6.7546 - val_loss: 12.6334 - val_mae: 12.6334 - 102ms/epoch - 10ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 7.2557 - mae: 7.2557 - val_loss: 12.6664 - val_mae: 12.6664 - 85ms/epoch - 9ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 7.6964 - mae: 7.6964 - val_loss: 12.4138 - val_mae: 12.4138 - 107ms/epoch - 11ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 7.1667 - mae: 7.1667 - val_loss: 12.5069 - val_mae: 12.5069 - 95ms/epoch - 10ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 6.9863 - mae: 6.9863 - val_loss: 12.8247 - val_mae: 12.8247 - 87ms/epoch - 9ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 7.0612 - mae: 7.0612 - val_loss: 12.4031 - val_mae: 12.4031 - 95ms/epoch - 9ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 6.7277 - mae: 6.7277 - val_loss: 12.4901 - val_mae: 12.4901 - 88ms/epoch - 9ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 6.8308 - mae: 6.8308 - val_loss: 12.6504 - val_mae: 12.6504 - 101ms/epoch - 10ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 7.4820 - mae: 7.4820 - val_loss: 12.7416 - val_mae: 12.7416 - 89ms/epoch - 9ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 6.8860 - mae: 6.8860 - val_loss: 12.6330 - val_mae: 12.6330 - 103ms/epoch - 10ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 7.0828 - mae: 7.0828 - val_loss: 12.5421 - val_mae: 12.5421 - 107ms/epoch - 11ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 7.4919 - mae: 7.4919 - val_loss: 12.6354 - val_mae: 12.6354 - 106ms/epoch - 11ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 6.8586 - mae: 6.8586 - val_loss: 12.6629 - val_mae: 12.6629 - 103ms/epoch - 10ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 7.4119 - mae: 7.4119 - val_loss: 12.7175 - val_mae: 12.7175 - 98ms/epoch - 10ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 7.4850 - mae: 7.4850 - val_loss: 12.6594 - val_mae: 12.6594 - 91ms/epoch - 9ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 6.3746 - mae: 6.3746 - val_loss: 12.5267 - val_mae: 12.5267 - 86ms/epoch - 9ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 6.7078 - mae: 6.7078 - val_loss: 12.1855 - val_mae: 12.1855 - 88ms/epoch - 9ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 6.7185 - mae: 6.7185 - val_loss: 12.3343 - val_mae: 12.3343 - 88ms/epoch - 9ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 6.2539 - mae: 6.2539 - val_loss: 12.0788 - val_mae: 12.0788 - 155ms/epoch - 15ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 6.7328 - mae: 6.7328 - val_loss: 12.1152 - val_mae: 12.1152 - 106ms/epoch - 11ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 7.3031 - mae: 7.3031 - val_loss: 12.3745 - val_mae: 12.3745 - 264ms/epoch - 26ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 7.4168 - mae: 7.4168 - val_loss: 12.2333 - val_mae: 12.2333 - 221ms/epoch - 22ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 7.1968 - mae: 7.1968 - val_loss: 12.2987 - val_mae: 12.2987 - 144ms/epoch - 14ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 7.1542 - mae: 7.1542 - val_loss: 12.3625 - val_mae: 12.3625 - 103ms/epoch - 10ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 6.9175 - mae: 6.9175 - val_loss: 12.3333 - val_mae: 12.3333 - 104ms/epoch - 10ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 6.2796 - mae: 6.2796 - val_loss: 12.2095 - val_mae: 12.2095 - 90ms/epoch - 9ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 6.3004 - mae: 6.3004 - val_loss: 12.2211 - val_mae: 12.2211 - 101ms/epoch - 10ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 6.5013 - mae: 6.5013 - val_loss: 12.2103 - val_mae: 12.2103 - 229ms/epoch - 23ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 6.6997 - mae: 6.6997 - val_loss: 12.4090 - val_mae: 12.4090 - 264ms/epoch - 26ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 6.7675 - mae: 6.7675 - val_loss: 12.4892 - val_mae: 12.4892 - 107ms/epoch - 11ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 6.9403 - mae: 6.9403 - val_loss: 12.3324 - val_mae: 12.3324 - 99ms/epoch - 10ms/step\n","\n","\n","Training BASE ============= with log_cosh\n","\n","Epoch 1/125\n","10/10 - 3s - loss: 66.4919 - mae: 67.1850 - val_loss: 77.0032 - val_mae: 77.6963 - 3s/epoch - 335ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 32.7751 - mae: 33.4656 - val_loss: 70.8023 - val_mae: 71.4954 - 166ms/epoch - 17ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 16.8871 - mae: 17.5720 - val_loss: 65.1168 - val_mae: 65.8099 - 152ms/epoch - 15ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 13.3256 - mae: 13.9935 - val_loss: 65.4547 - val_mae: 66.1478 - 87ms/epoch - 9ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 12.5207 - mae: 13.1894 - val_loss: 62.4355 - val_mae: 63.1286 - 133ms/epoch - 13ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 11.4704 - mae: 12.1434 - val_loss: 59.1034 - val_mae: 59.7966 - 140ms/epoch - 14ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 10.9581 - mae: 11.6209 - val_loss: 57.8114 - val_mae: 58.5045 - 152ms/epoch - 15ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 10.6235 - mae: 11.2929 - val_loss: 55.2927 - val_mae: 55.9859 - 136ms/epoch - 14ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 10.9446 - mae: 11.6098 - val_loss: 53.5328 - val_mae: 54.2260 - 131ms/epoch - 13ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 10.7236 - mae: 11.3870 - val_loss: 50.8891 - val_mae: 51.5823 - 159ms/epoch - 16ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 10.2789 - mae: 10.9467 - val_loss: 48.3593 - val_mae: 49.0525 - 151ms/epoch - 15ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 9.9597 - mae: 10.6231 - val_loss: 46.9977 - val_mae: 47.6909 - 153ms/epoch - 15ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 10.0316 - mae: 10.7014 - val_loss: 45.2911 - val_mae: 45.9842 - 139ms/epoch - 14ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 10.0750 - mae: 10.7369 - val_loss: 41.6090 - val_mae: 42.3021 - 150ms/epoch - 15ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 9.2324 - mae: 9.8941 - val_loss: 41.3257 - val_mae: 42.0189 - 138ms/epoch - 14ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 9.3517 - mae: 10.0108 - val_loss: 38.9105 - val_mae: 39.6036 - 154ms/epoch - 15ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 9.2764 - mae: 9.9300 - val_loss: 36.8911 - val_mae: 37.5843 - 148ms/epoch - 15ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 9.3727 - mae: 10.0350 - val_loss: 34.9236 - val_mae: 35.6167 - 139ms/epoch - 14ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 8.8977 - mae: 9.5437 - val_loss: 34.3554 - val_mae: 35.0486 - 198ms/epoch - 20ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 9.1557 - mae: 9.8182 - val_loss: 31.2658 - val_mae: 31.9590 - 219ms/epoch - 22ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 8.8267 - mae: 9.4815 - val_loss: 29.9865 - val_mae: 30.6795 - 194ms/epoch - 19ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 8.8900 - mae: 9.5411 - val_loss: 28.4227 - val_mae: 29.1153 - 209ms/epoch - 21ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 8.9898 - mae: 9.6551 - val_loss: 27.1538 - val_mae: 27.8418 - 210ms/epoch - 21ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 8.8127 - mae: 9.4665 - val_loss: 26.4402 - val_mae: 27.1215 - 231ms/epoch - 23ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 8.5487 - mae: 9.2080 - val_loss: 25.8495 - val_mae: 26.5373 - 203ms/epoch - 20ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 9.2695 - mae: 9.9331 - val_loss: 24.0099 - val_mae: 24.6996 - 195ms/epoch - 20ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 8.7896 - mae: 9.4480 - val_loss: 20.7527 - val_mae: 21.4247 - 209ms/epoch - 21ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 8.8364 - mae: 9.5014 - val_loss: 24.0358 - val_mae: 24.7239 - 129ms/epoch - 13ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 8.4277 - mae: 9.0892 - val_loss: 18.4088 - val_mae: 19.0931 - 196ms/epoch - 20ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 8.2900 - mae: 8.9415 - val_loss: 19.0932 - val_mae: 19.7746 - 141ms/epoch - 14ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 8.0598 - mae: 8.7095 - val_loss: 18.2531 - val_mae: 18.9321 - 207ms/epoch - 21ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 7.7210 - mae: 8.3806 - val_loss: 18.2955 - val_mae: 18.9794 - 143ms/epoch - 14ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 8.0903 - mae: 8.7402 - val_loss: 19.3312 - val_mae: 20.0237 - 144ms/epoch - 14ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 8.2206 - mae: 8.8622 - val_loss: 15.1367 - val_mae: 15.8175 - 211ms/epoch - 21ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 7.9698 - mae: 8.6267 - val_loss: 15.6066 - val_mae: 16.2908 - 129ms/epoch - 13ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 7.8252 - mae: 8.4616 - val_loss: 16.1644 - val_mae: 16.8457 - 134ms/epoch - 13ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 7.5120 - mae: 8.1651 - val_loss: 13.4452 - val_mae: 14.1269 - 216ms/epoch - 22ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 8.0179 - mae: 8.6760 - val_loss: 13.1210 - val_mae: 13.7897 - 251ms/epoch - 25ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 8.0323 - mae: 8.6873 - val_loss: 13.9079 - val_mae: 14.5973 - 153ms/epoch - 15ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 7.5663 - mae: 8.2092 - val_loss: 13.2696 - val_mae: 13.9547 - 145ms/epoch - 15ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 7.5009 - mae: 8.1421 - val_loss: 12.4510 - val_mae: 13.1232 - 156ms/epoch - 16ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 7.8161 - mae: 8.4684 - val_loss: 15.1285 - val_mae: 15.7933 - 88ms/epoch - 9ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 7.5247 - mae: 8.1852 - val_loss: 12.4628 - val_mae: 13.1399 - 106ms/epoch - 11ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 7.6414 - mae: 8.2888 - val_loss: 12.0194 - val_mae: 12.6976 - 167ms/epoch - 17ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 7.2371 - mae: 7.8845 - val_loss: 12.0869 - val_mae: 12.7563 - 90ms/epoch - 9ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 7.3907 - mae: 8.0391 - val_loss: 12.9011 - val_mae: 13.5706 - 89ms/epoch - 9ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 7.1012 - mae: 7.7487 - val_loss: 12.2199 - val_mae: 12.9058 - 93ms/epoch - 9ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 7.4962 - mae: 8.1436 - val_loss: 10.9316 - val_mae: 11.6068 - 141ms/epoch - 14ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 7.1739 - mae: 7.8160 - val_loss: 11.5313 - val_mae: 12.2018 - 105ms/epoch - 11ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 7.5130 - mae: 8.1651 - val_loss: 11.9089 - val_mae: 12.5884 - 88ms/epoch - 9ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 7.3672 - mae: 8.0100 - val_loss: 11.0374 - val_mae: 11.7179 - 100ms/epoch - 10ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 7.0251 - mae: 7.6829 - val_loss: 11.3037 - val_mae: 11.9810 - 105ms/epoch - 11ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 7.2420 - mae: 7.8851 - val_loss: 11.0583 - val_mae: 11.7223 - 87ms/epoch - 9ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 7.5460 - mae: 8.2030 - val_loss: 11.1838 - val_mae: 11.8618 - 101ms/epoch - 10ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 7.2867 - mae: 7.9256 - val_loss: 10.9146 - val_mae: 11.5854 - 154ms/epoch - 15ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 7.0194 - mae: 7.6599 - val_loss: 11.1590 - val_mae: 11.8283 - 105ms/epoch - 11ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 7.4841 - mae: 8.1374 - val_loss: 11.0728 - val_mae: 11.7486 - 102ms/epoch - 10ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 7.0295 - mae: 7.6848 - val_loss: 11.7004 - val_mae: 12.3719 - 91ms/epoch - 9ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 6.7387 - mae: 7.3815 - val_loss: 11.3972 - val_mae: 12.0659 - 103ms/epoch - 10ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 6.7586 - mae: 7.4086 - val_loss: 10.5208 - val_mae: 11.1898 - 147ms/epoch - 15ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 6.5951 - mae: 7.2407 - val_loss: 10.9495 - val_mae: 11.6128 - 112ms/epoch - 11ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 7.0044 - mae: 7.6478 - val_loss: 11.3088 - val_mae: 11.9874 - 105ms/epoch - 11ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 6.7439 - mae: 7.3841 - val_loss: 11.1958 - val_mae: 11.8689 - 109ms/epoch - 11ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 7.1585 - mae: 7.8102 - val_loss: 11.3374 - val_mae: 12.0032 - 110ms/epoch - 11ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 6.8635 - mae: 7.5166 - val_loss: 11.5648 - val_mae: 12.2359 - 94ms/epoch - 9ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 7.1767 - mae: 7.8286 - val_loss: 12.0414 - val_mae: 12.7212 - 102ms/epoch - 10ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 6.6441 - mae: 7.3017 - val_loss: 11.2352 - val_mae: 11.9100 - 101ms/epoch - 10ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 6.7091 - mae: 7.3641 - val_loss: 11.1147 - val_mae: 11.8003 - 96ms/epoch - 10ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 6.4676 - mae: 7.1122 - val_loss: 11.4224 - val_mae: 12.0857 - 91ms/epoch - 9ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 6.5416 - mae: 7.1869 - val_loss: 11.0561 - val_mae: 11.7377 - 93ms/epoch - 9ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 6.6036 - mae: 7.2467 - val_loss: 11.0552 - val_mae: 11.7402 - 90ms/epoch - 9ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 6.6100 - mae: 7.2614 - val_loss: 11.1697 - val_mae: 11.8484 - 106ms/epoch - 11ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 6.5084 - mae: 7.1511 - val_loss: 11.6659 - val_mae: 12.3405 - 97ms/epoch - 10ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 6.4321 - mae: 7.0775 - val_loss: 11.7472 - val_mae: 12.4313 - 90ms/epoch - 9ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 7.0212 - mae: 7.6755 - val_loss: 11.3949 - val_mae: 12.0560 - 104ms/epoch - 10ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 6.7773 - mae: 7.4348 - val_loss: 10.6204 - val_mae: 11.2843 - 91ms/epoch - 9ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 7.0147 - mae: 7.6606 - val_loss: 10.5565 - val_mae: 11.2383 - 113ms/epoch - 11ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 7.1357 - mae: 7.7903 - val_loss: 11.5622 - val_mae: 12.2423 - 90ms/epoch - 9ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 7.1492 - mae: 7.7998 - val_loss: 11.1644 - val_mae: 11.8407 - 100ms/epoch - 10ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 6.7624 - mae: 7.4159 - val_loss: 10.5746 - val_mae: 11.2583 - 87ms/epoch - 9ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 6.7611 - mae: 7.4066 - val_loss: 10.7055 - val_mae: 11.3800 - 103ms/epoch - 10ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 6.3921 - mae: 7.0342 - val_loss: 11.2333 - val_mae: 11.9122 - 90ms/epoch - 9ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 6.5360 - mae: 7.1837 - val_loss: 10.9089 - val_mae: 11.5918 - 109ms/epoch - 11ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 6.5953 - mae: 7.2450 - val_loss: 10.8433 - val_mae: 11.5248 - 91ms/epoch - 9ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 6.6658 - mae: 7.3067 - val_loss: 10.8306 - val_mae: 11.4882 - 92ms/epoch - 9ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 6.3493 - mae: 6.9927 - val_loss: 10.7792 - val_mae: 11.4246 - 98ms/epoch - 10ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 6.4338 - mae: 7.0837 - val_loss: 10.9911 - val_mae: 11.6640 - 103ms/epoch - 10ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 6.2218 - mae: 6.8534 - val_loss: 11.1941 - val_mae: 11.8692 - 107ms/epoch - 11ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 5.9031 - mae: 6.5499 - val_loss: 10.8442 - val_mae: 11.4993 - 93ms/epoch - 9ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 6.3166 - mae: 6.9596 - val_loss: 10.8961 - val_mae: 11.5656 - 93ms/epoch - 9ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 6.6281 - mae: 7.2804 - val_loss: 11.0285 - val_mae: 11.7191 - 104ms/epoch - 10ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 6.3178 - mae: 6.9575 - val_loss: 10.7803 - val_mae: 11.4602 - 104ms/epoch - 10ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 6.2930 - mae: 6.9342 - val_loss: 10.8078 - val_mae: 11.4932 - 95ms/epoch - 9ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 6.0967 - mae: 6.7504 - val_loss: 10.8932 - val_mae: 11.5723 - 88ms/epoch - 9ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 6.2156 - mae: 6.8690 - val_loss: 11.0847 - val_mae: 11.7641 - 107ms/epoch - 11ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 6.1174 - mae: 6.7616 - val_loss: 10.4657 - val_mae: 11.1319 - 158ms/epoch - 16ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 6.9955 - mae: 7.6427 - val_loss: 11.8151 - val_mae: 12.4730 - 116ms/epoch - 12ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 6.6563 - mae: 7.3067 - val_loss: 10.7744 - val_mae: 11.4589 - 101ms/epoch - 10ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 6.5340 - mae: 7.1901 - val_loss: 10.5473 - val_mae: 11.1976 - 86ms/epoch - 9ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 6.5220 - mae: 7.1733 - val_loss: 10.7140 - val_mae: 11.3937 - 87ms/epoch - 9ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 6.3686 - mae: 7.0154 - val_loss: 10.6283 - val_mae: 11.2815 - 86ms/epoch - 9ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 6.6572 - mae: 7.3090 - val_loss: 11.3840 - val_mae: 12.0691 - 85ms/epoch - 9ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 7.0397 - mae: 7.7018 - val_loss: 11.4102 - val_mae: 12.0793 - 106ms/epoch - 11ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 6.3035 - mae: 6.9547 - val_loss: 10.7794 - val_mae: 11.4609 - 101ms/epoch - 10ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 5.7766 - mae: 6.4139 - val_loss: 10.4593 - val_mae: 11.1202 - 148ms/epoch - 15ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 5.8385 - mae: 6.4616 - val_loss: 10.5954 - val_mae: 11.2550 - 108ms/epoch - 11ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 6.2615 - mae: 6.9152 - val_loss: 11.1355 - val_mae: 11.8080 - 110ms/epoch - 11ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 6.2918 - mae: 6.9308 - val_loss: 10.6454 - val_mae: 11.3263 - 103ms/epoch - 10ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 5.9456 - mae: 6.5874 - val_loss: 10.6539 - val_mae: 11.3020 - 92ms/epoch - 9ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 6.4434 - mae: 7.0871 - val_loss: 10.9861 - val_mae: 11.6776 - 102ms/epoch - 10ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 6.6072 - mae: 7.2674 - val_loss: 11.4517 - val_mae: 12.1293 - 103ms/epoch - 10ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 5.8803 - mae: 6.5208 - val_loss: 10.2773 - val_mae: 10.9322 - 151ms/epoch - 15ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 5.9561 - mae: 6.5998 - val_loss: 11.0100 - val_mae: 11.6938 - 103ms/epoch - 10ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 6.2766 - mae: 6.9241 - val_loss: 10.8077 - val_mae: 11.4956 - 102ms/epoch - 10ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 5.9500 - mae: 6.5876 - val_loss: 10.6699 - val_mae: 11.3478 - 103ms/epoch - 10ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 6.3118 - mae: 6.9588 - val_loss: 10.4106 - val_mae: 11.0939 - 105ms/epoch - 11ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 5.7967 - mae: 6.4453 - val_loss: 10.4690 - val_mae: 11.1493 - 90ms/epoch - 9ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 6.0651 - mae: 6.7033 - val_loss: 10.4164 - val_mae: 11.0792 - 95ms/epoch - 10ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 6.0197 - mae: 6.6639 - val_loss: 10.5998 - val_mae: 11.2782 - 102ms/epoch - 10ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 5.7931 - mae: 6.4260 - val_loss: 10.5638 - val_mae: 11.2430 - 101ms/epoch - 10ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 5.8362 - mae: 6.4821 - val_loss: 10.6498 - val_mae: 11.3391 - 90ms/epoch - 9ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 5.9362 - mae: 6.5879 - val_loss: 10.2602 - val_mae: 10.9494 - 152ms/epoch - 15ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 5.8609 - mae: 6.4964 - val_loss: 10.2936 - val_mae: 10.9645 - 89ms/epoch - 9ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 5.9578 - mae: 6.5960 - val_loss: 10.4642 - val_mae: 11.1415 - 106ms/epoch - 11ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 6.1572 - mae: 6.8062 - val_loss: 10.9455 - val_mae: 11.6020 - 88ms/epoch - 9ms/step\n","\n","\n","Training FCN ============= with huber_loss\n","\n","Epoch 1/125\n","10/10 - 2s - loss: 79.1796 - mae: 79.6796 - val_loss: 78.9518 - val_mae: 79.4518 - 2s/epoch - 197ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 78.2840 - mae: 78.7840 - val_loss: 77.1302 - val_mae: 77.6303 - 116ms/epoch - 12ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 74.6013 - mae: 75.1013 - val_loss: 69.3484 - val_mae: 69.8484 - 130ms/epoch - 13ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 59.0533 - mae: 59.5533 - val_loss: 37.0283 - val_mae: 37.5283 - 137ms/epoch - 14ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 23.9495 - mae: 24.4431 - val_loss: 21.5494 - val_mae: 22.0494 - 118ms/epoch - 12ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 18.1380 - mae: 18.6341 - val_loss: 18.5937 - val_mae: 19.0937 - 141ms/epoch - 14ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 15.6991 - mae: 16.1931 - val_loss: 15.5327 - val_mae: 16.0316 - 130ms/epoch - 13ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 14.1893 - mae: 14.6833 - val_loss: 14.0006 - val_mae: 14.4995 - 136ms/epoch - 14ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 13.4558 - mae: 13.9416 - val_loss: 13.9351 - val_mae: 14.4278 - 135ms/epoch - 14ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 13.2130 - mae: 13.7040 - val_loss: 13.5617 - val_mae: 14.0491 - 135ms/epoch - 13ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 12.9877 - mae: 13.4764 - val_loss: 13.5945 - val_mae: 14.0864 - 100ms/epoch - 10ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 12.7891 - mae: 13.2786 - val_loss: 13.2560 - val_mae: 13.7392 - 136ms/epoch - 14ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 12.6819 - mae: 13.1722 - val_loss: 13.2859 - val_mae: 13.7756 - 109ms/epoch - 11ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 12.6310 - mae: 13.1203 - val_loss: 13.0613 - val_mae: 13.5458 - 144ms/epoch - 14ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 12.4568 - mae: 12.9429 - val_loss: 13.3163 - val_mae: 13.8130 - 98ms/epoch - 10ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 12.5753 - mae: 13.0689 - val_loss: 12.9214 - val_mae: 13.4018 - 120ms/epoch - 12ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 12.4558 - mae: 12.9441 - val_loss: 12.9116 - val_mae: 13.3943 - 130ms/epoch - 13ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 12.2307 - mae: 12.7197 - val_loss: 12.9539 - val_mae: 13.4535 - 102ms/epoch - 10ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 12.1837 - mae: 12.6744 - val_loss: 12.8862 - val_mae: 13.3850 - 132ms/epoch - 13ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 12.3099 - mae: 12.8009 - val_loss: 12.7082 - val_mae: 13.1917 - 133ms/epoch - 13ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 12.2966 - mae: 12.7851 - val_loss: 12.6485 - val_mae: 13.1390 - 128ms/epoch - 13ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 12.0806 - mae: 12.5712 - val_loss: 12.8347 - val_mae: 13.3181 - 112ms/epoch - 11ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 11.9089 - mae: 12.3983 - val_loss: 12.5447 - val_mae: 13.0329 - 138ms/epoch - 14ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 11.8373 - mae: 12.3259 - val_loss: 12.6477 - val_mae: 13.1369 - 104ms/epoch - 10ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 11.7480 - mae: 12.2335 - val_loss: 12.4442 - val_mae: 12.9390 - 117ms/epoch - 12ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 11.7369 - mae: 12.2235 - val_loss: 12.4301 - val_mae: 12.9149 - 121ms/epoch - 12ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 11.6636 - mae: 12.1523 - val_loss: 12.8403 - val_mae: 13.3403 - 100ms/epoch - 10ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 11.9600 - mae: 12.4477 - val_loss: 12.2215 - val_mae: 12.7167 - 132ms/epoch - 13ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 11.6528 - mae: 12.1442 - val_loss: 12.2909 - val_mae: 12.7706 - 102ms/epoch - 10ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 12.3624 - mae: 12.8570 - val_loss: 12.0818 - val_mae: 12.5732 - 136ms/epoch - 14ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 12.5923 - mae: 13.0852 - val_loss: 12.8355 - val_mae: 13.3328 - 93ms/epoch - 9ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 11.4263 - mae: 11.9171 - val_loss: 12.1850 - val_mae: 12.6747 - 88ms/epoch - 9ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 11.4190 - mae: 11.9121 - val_loss: 11.9198 - val_mae: 12.4051 - 128ms/epoch - 13ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 11.3388 - mae: 11.8250 - val_loss: 11.8449 - val_mae: 12.3334 - 137ms/epoch - 14ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 11.2122 - mae: 11.6985 - val_loss: 12.0661 - val_mae: 12.5610 - 84ms/epoch - 8ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 11.1732 - mae: 11.6593 - val_loss: 11.7555 - val_mae: 12.2398 - 144ms/epoch - 14ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 10.9973 - mae: 11.4861 - val_loss: 11.6411 - val_mae: 12.1197 - 129ms/epoch - 13ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 10.8661 - mae: 11.3545 - val_loss: 11.7236 - val_mae: 12.2103 - 99ms/epoch - 10ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 10.8677 - mae: 11.3569 - val_loss: 11.5456 - val_mae: 12.0314 - 137ms/epoch - 14ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 10.8679 - mae: 11.3578 - val_loss: 11.7653 - val_mae: 12.2539 - 97ms/epoch - 10ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 10.8534 - mae: 11.3381 - val_loss: 11.4288 - val_mae: 11.9172 - 134ms/epoch - 13ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 10.7683 - mae: 11.2530 - val_loss: 11.5582 - val_mae: 12.0546 - 102ms/epoch - 10ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 10.7699 - mae: 11.2527 - val_loss: 11.5430 - val_mae: 12.0316 - 97ms/epoch - 10ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 11.0144 - mae: 11.5043 - val_loss: 11.4221 - val_mae: 11.9123 - 127ms/epoch - 13ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 10.9070 - mae: 11.3962 - val_loss: 11.3280 - val_mae: 11.8184 - 132ms/epoch - 13ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 10.6986 - mae: 11.1901 - val_loss: 11.4907 - val_mae: 11.9830 - 99ms/epoch - 10ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 10.5767 - mae: 11.0650 - val_loss: 11.1254 - val_mae: 11.6086 - 144ms/epoch - 14ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 10.6248 - mae: 11.1095 - val_loss: 11.0823 - val_mae: 11.5655 - 139ms/epoch - 14ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 10.4443 - mae: 10.9333 - val_loss: 11.3560 - val_mae: 11.8443 - 100ms/epoch - 10ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 10.5926 - mae: 11.0863 - val_loss: 11.2784 - val_mae: 11.7691 - 101ms/epoch - 10ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 10.5232 - mae: 11.0099 - val_loss: 10.9585 - val_mae: 11.4453 - 129ms/epoch - 13ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 10.4127 - mae: 10.9032 - val_loss: 10.9042 - val_mae: 11.3836 - 114ms/epoch - 11ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 10.4975 - mae: 10.9860 - val_loss: 11.0992 - val_mae: 11.5888 - 86ms/epoch - 9ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 10.4463 - mae: 10.9338 - val_loss: 10.9237 - val_mae: 11.4053 - 91ms/epoch - 9ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 10.3107 - mae: 10.7999 - val_loss: 10.8011 - val_mae: 11.2796 - 139ms/epoch - 14ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 10.2381 - mae: 10.7309 - val_loss: 10.7915 - val_mae: 11.2809 - 137ms/epoch - 14ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 10.3531 - mae: 10.8386 - val_loss: 10.6906 - val_mae: 11.1699 - 126ms/epoch - 13ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 10.5243 - mae: 11.0104 - val_loss: 13.0197 - val_mae: 13.5175 - 100ms/epoch - 10ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 11.0963 - mae: 11.5884 - val_loss: 11.7194 - val_mae: 12.2184 - 96ms/epoch - 10ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 10.4560 - mae: 10.9417 - val_loss: 10.6972 - val_mae: 11.1820 - 156ms/epoch - 16ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 10.6180 - mae: 11.1035 - val_loss: 10.5225 - val_mae: 10.9970 - 181ms/epoch - 18ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 10.1529 - mae: 10.6424 - val_loss: 10.6274 - val_mae: 11.1185 - 155ms/epoch - 16ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 10.4442 - mae: 10.9272 - val_loss: 10.5615 - val_mae: 11.0505 - 141ms/epoch - 14ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 10.0011 - mae: 10.4896 - val_loss: 10.9053 - val_mae: 11.3931 - 150ms/epoch - 15ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 10.5430 - mae: 11.0287 - val_loss: 10.8509 - val_mae: 11.3422 - 138ms/epoch - 14ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 10.1760 - mae: 10.6601 - val_loss: 10.5496 - val_mae: 11.0430 - 143ms/epoch - 14ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 9.9476 - mae: 10.4312 - val_loss: 10.5259 - val_mae: 11.0121 - 154ms/epoch - 15ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 9.8490 - mae: 10.3405 - val_loss: 10.2157 - val_mae: 10.6832 - 203ms/epoch - 20ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 9.9961 - mae: 10.4843 - val_loss: 12.9225 - val_mae: 13.4152 - 144ms/epoch - 14ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 10.3399 - mae: 10.8247 - val_loss: 11.0492 - val_mae: 11.5410 - 136ms/epoch - 14ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 9.9749 - mae: 10.4619 - val_loss: 10.7736 - val_mae: 11.2710 - 171ms/epoch - 17ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 10.1861 - mae: 10.6804 - val_loss: 10.2002 - val_mae: 10.6791 - 201ms/epoch - 20ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 9.9010 - mae: 10.3882 - val_loss: 11.3334 - val_mae: 11.8240 - 155ms/epoch - 16ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 9.7356 - mae: 10.2227 - val_loss: 10.1494 - val_mae: 10.6211 - 189ms/epoch - 19ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 9.6531 - mae: 10.1383 - val_loss: 10.0799 - val_mae: 10.5590 - 194ms/epoch - 19ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 9.7116 - mae: 10.2029 - val_loss: 10.3716 - val_mae: 10.8578 - 148ms/epoch - 15ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 9.6580 - mae: 10.1451 - val_loss: 10.0809 - val_mae: 10.5593 - 155ms/epoch - 16ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 9.6334 - mae: 10.1199 - val_loss: 10.1276 - val_mae: 10.6038 - 156ms/epoch - 16ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 9.5752 - mae: 10.0575 - val_loss: 9.9564 - val_mae: 10.4367 - 219ms/epoch - 22ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 9.4658 - mae: 9.9494 - val_loss: 9.9403 - val_mae: 10.4286 - 208ms/epoch - 21ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 9.5739 - mae: 10.0622 - val_loss: 10.1947 - val_mae: 10.6906 - 166ms/epoch - 17ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 9.5179 - mae: 9.9973 - val_loss: 10.1010 - val_mae: 10.5902 - 154ms/epoch - 15ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 9.6663 - mae: 10.1416 - val_loss: 9.9019 - val_mae: 10.3826 - 201ms/epoch - 20ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 9.6366 - mae: 10.1221 - val_loss: 9.9913 - val_mae: 10.4725 - 133ms/epoch - 13ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 9.2920 - mae: 9.7761 - val_loss: 10.4276 - val_mae: 10.9230 - 101ms/epoch - 10ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 9.4391 - mae: 9.9242 - val_loss: 10.9177 - val_mae: 11.4074 - 98ms/epoch - 10ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 9.6418 - mae: 10.1245 - val_loss: 11.0542 - val_mae: 11.5495 - 106ms/epoch - 11ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 9.6343 - mae: 10.1222 - val_loss: 10.8616 - val_mae: 11.3508 - 92ms/epoch - 9ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 9.6055 - mae: 10.0916 - val_loss: 10.6732 - val_mae: 11.1567 - 103ms/epoch - 10ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 9.2121 - mae: 9.6932 - val_loss: 9.8810 - val_mae: 10.3670 - 126ms/epoch - 13ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 9.0953 - mae: 9.5810 - val_loss: 9.7013 - val_mae: 10.1848 - 153ms/epoch - 15ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 9.1037 - mae: 9.5921 - val_loss: 9.7173 - val_mae: 10.2003 - 102ms/epoch - 10ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 9.1923 - mae: 9.6721 - val_loss: 9.5960 - val_mae: 10.0678 - 130ms/epoch - 13ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 9.0983 - mae: 9.5835 - val_loss: 9.5905 - val_mae: 10.0693 - 137ms/epoch - 14ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 9.0463 - mae: 9.5329 - val_loss: 9.6325 - val_mae: 10.1129 - 103ms/epoch - 10ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 8.9219 - mae: 9.4038 - val_loss: 9.9305 - val_mae: 10.4202 - 88ms/epoch - 9ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 9.4793 - mae: 9.9645 - val_loss: 9.5464 - val_mae: 10.0306 - 142ms/epoch - 14ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 9.4136 - mae: 9.8998 - val_loss: 9.9361 - val_mae: 10.4295 - 104ms/epoch - 10ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 9.2274 - mae: 9.7122 - val_loss: 9.8368 - val_mae: 10.3343 - 101ms/epoch - 10ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 8.8965 - mae: 9.3850 - val_loss: 9.4054 - val_mae: 9.8828 - 148ms/epoch - 15ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 8.8092 - mae: 9.2856 - val_loss: 9.3584 - val_mae: 9.8319 - 133ms/epoch - 13ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 8.6886 - mae: 9.1673 - val_loss: 9.4830 - val_mae: 9.9709 - 90ms/epoch - 9ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 8.6370 - mae: 9.1103 - val_loss: 9.3972 - val_mae: 9.8868 - 102ms/epoch - 10ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 8.6987 - mae: 9.1812 - val_loss: 9.3002 - val_mae: 9.7828 - 134ms/epoch - 13ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 8.8126 - mae: 9.2898 - val_loss: 9.3420 - val_mae: 9.8294 - 92ms/epoch - 9ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 8.8517 - mae: 9.3316 - val_loss: 9.1921 - val_mae: 9.6522 - 141ms/epoch - 14ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 8.7875 - mae: 9.2707 - val_loss: 9.3687 - val_mae: 9.8468 - 85ms/epoch - 8ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 8.8456 - mae: 9.3280 - val_loss: 9.1482 - val_mae: 9.6157 - 142ms/epoch - 14ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 9.2779 - mae: 9.7611 - val_loss: 9.1777 - val_mae: 9.6598 - 87ms/epoch - 9ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 9.3125 - mae: 9.7996 - val_loss: 9.7616 - val_mae: 10.2525 - 100ms/epoch - 10ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 9.4534 - mae: 9.9404 - val_loss: 9.3629 - val_mae: 9.8597 - 100ms/epoch - 10ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 8.5860 - mae: 9.0654 - val_loss: 9.6391 - val_mae: 10.1059 - 99ms/epoch - 10ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 8.4465 - mae: 8.9290 - val_loss: 9.6307 - val_mae: 10.1059 - 100ms/epoch - 10ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 8.4282 - mae: 8.9063 - val_loss: 9.2995 - val_mae: 9.7826 - 85ms/epoch - 9ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 8.3753 - mae: 8.8520 - val_loss: 9.1316 - val_mae: 9.6129 - 144ms/epoch - 14ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 8.4356 - mae: 8.9198 - val_loss: 9.2863 - val_mae: 9.7599 - 90ms/epoch - 9ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 8.3592 - mae: 8.8383 - val_loss: 9.4467 - val_mae: 9.9093 - 102ms/epoch - 10ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 8.3119 - mae: 8.7858 - val_loss: 9.3291 - val_mae: 9.8051 - 114ms/epoch - 11ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 8.2337 - mae: 8.6966 - val_loss: 11.1519 - val_mae: 11.6473 - 104ms/epoch - 10ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 9.1150 - mae: 9.6000 - val_loss: 10.9674 - val_mae: 11.4627 - 97ms/epoch - 10ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 8.5749 - mae: 9.0575 - val_loss: 9.6429 - val_mae: 10.1205 - 107ms/epoch - 11ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 8.5107 - mae: 8.9973 - val_loss: 9.5242 - val_mae: 9.9897 - 82ms/epoch - 8ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 8.3686 - mae: 8.8511 - val_loss: 9.1417 - val_mae: 9.6163 - 104ms/epoch - 10ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 8.2945 - mae: 8.7758 - val_loss: 9.6658 - val_mae: 10.1524 - 85ms/epoch - 9ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 8.3416 - mae: 8.8248 - val_loss: 9.1978 - val_mae: 9.6780 - 86ms/epoch - 9ms/step\n","\n","\n","Training FCN ============= with mean_squared_error\n","\n","Epoch 1/125\n","10/10 - 2s - loss: 6586.0493 - mae: 79.6272 - val_loss: 6511.4946 - val_mae: 79.3232 - 2s/epoch - 189ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 6402.4170 - mae: 78.4639 - val_loss: 6078.3638 - val_mae: 76.5488 - 120ms/epoch - 12ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 5517.3379 - mae: 72.5471 - val_loss: 4176.7686 - val_mae: 62.8734 - 120ms/epoch - 12ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 2510.8799 - mae: 44.8675 - val_loss: 384.8681 - val_mae: 15.9775 - 142ms/epoch - 14ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 701.1573 - mae: 21.5728 - val_loss: 431.3926 - val_mae: 17.7596 - 84ms/epoch - 8ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 476.1277 - mae: 16.6041 - val_loss: 411.3601 - val_mae: 15.6088 - 88ms/epoch - 9ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 405.4221 - mae: 15.3075 - val_loss: 433.2406 - val_mae: 17.8194 - 99ms/epoch - 10ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 387.1275 - mae: 15.0840 - val_loss: 338.2578 - val_mae: 14.8909 - 139ms/epoch - 14ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 366.8962 - mae: 14.3592 - val_loss: 339.2846 - val_mae: 15.3269 - 92ms/epoch - 9ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 359.4133 - mae: 14.5323 - val_loss: 340.8503 - val_mae: 15.4854 - 102ms/epoch - 10ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 348.2245 - mae: 13.9361 - val_loss: 319.6715 - val_mae: 14.5672 - 130ms/epoch - 13ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 340.3420 - mae: 14.0103 - val_loss: 324.5171 - val_mae: 14.9991 - 101ms/epoch - 10ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 334.8854 - mae: 13.7746 - val_loss: 315.7021 - val_mae: 14.6571 - 145ms/epoch - 15ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 326.0000 - mae: 13.7196 - val_loss: 312.7383 - val_mae: 14.6089 - 122ms/epoch - 12ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 321.6983 - mae: 13.5632 - val_loss: 303.8325 - val_mae: 14.2182 - 132ms/epoch - 13ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 317.3597 - mae: 13.4331 - val_loss: 301.7568 - val_mae: 14.2202 - 115ms/epoch - 12ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 313.9728 - mae: 13.4057 - val_loss: 305.0292 - val_mae: 14.4354 - 101ms/epoch - 10ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 312.0487 - mae: 13.2549 - val_loss: 293.4169 - val_mae: 13.9605 - 138ms/epoch - 14ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 306.7979 - mae: 13.2761 - val_loss: 294.3822 - val_mae: 14.0739 - 104ms/epoch - 10ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 305.1878 - mae: 13.0898 - val_loss: 288.5692 - val_mae: 13.8471 - 135ms/epoch - 14ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 302.4338 - mae: 13.2308 - val_loss: 285.0354 - val_mae: 13.7098 - 155ms/epoch - 15ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 297.3942 - mae: 12.8132 - val_loss: 285.9219 - val_mae: 13.8096 - 102ms/epoch - 10ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 301.9019 - mae: 13.2557 - val_loss: 279.4301 - val_mae: 13.2952 - 139ms/epoch - 14ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 293.2903 - mae: 12.7280 - val_loss: 288.0384 - val_mae: 13.9490 - 102ms/epoch - 10ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 293.0880 - mae: 12.9083 - val_loss: 277.6121 - val_mae: 13.4803 - 132ms/epoch - 13ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 286.7649 - mae: 12.7547 - val_loss: 275.6710 - val_mae: 13.4156 - 135ms/epoch - 14ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 284.3859 - mae: 12.6677 - val_loss: 274.6419 - val_mae: 13.3973 - 136ms/epoch - 14ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 282.9071 - mae: 12.6383 - val_loss: 273.0141 - val_mae: 13.3375 - 116ms/epoch - 12ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 282.0343 - mae: 12.8406 - val_loss: 269.0450 - val_mae: 13.0890 - 174ms/epoch - 17ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 280.9549 - mae: 12.4329 - val_loss: 279.7165 - val_mae: 13.6628 - 143ms/epoch - 14ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 277.0860 - mae: 12.6450 - val_loss: 266.8957 - val_mae: 13.0184 - 199ms/epoch - 20ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 274.2890 - mae: 12.3195 - val_loss: 273.6815 - val_mae: 13.4123 - 169ms/epoch - 17ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 273.3113 - mae: 12.4777 - val_loss: 267.1585 - val_mae: 13.1426 - 148ms/epoch - 15ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 277.8048 - mae: 12.4065 - val_loss: 265.5739 - val_mae: 13.0944 - 189ms/epoch - 19ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 272.8715 - mae: 12.5719 - val_loss: 262.6613 - val_mae: 12.9554 - 186ms/epoch - 19ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 265.9420 - mae: 12.2199 - val_loss: 263.1143 - val_mae: 13.0191 - 159ms/epoch - 16ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 264.1061 - mae: 12.1651 - val_loss: 265.1559 - val_mae: 13.0721 - 148ms/epoch - 15ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 262.3819 - mae: 12.2517 - val_loss: 259.9599 - val_mae: 12.9013 - 201ms/epoch - 20ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 261.4878 - mae: 12.1121 - val_loss: 265.7367 - val_mae: 13.0790 - 139ms/epoch - 14ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 259.7154 - mae: 12.1524 - val_loss: 258.0080 - val_mae: 12.8211 - 195ms/epoch - 19ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 258.6402 - mae: 12.1036 - val_loss: 257.4729 - val_mae: 12.8313 - 194ms/epoch - 19ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 256.3257 - mae: 11.9420 - val_loss: 259.3173 - val_mae: 12.8794 - 140ms/epoch - 14ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 256.2011 - mae: 11.9912 - val_loss: 254.5437 - val_mae: 12.6482 - 206ms/epoch - 21ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 251.6772 - mae: 11.8179 - val_loss: 254.4420 - val_mae: 12.7105 - 201ms/epoch - 20ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 251.5779 - mae: 11.7586 - val_loss: 259.0418 - val_mae: 12.8342 - 168ms/epoch - 17ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 251.8062 - mae: 11.8929 - val_loss: 251.9323 - val_mae: 12.4916 - 190ms/epoch - 19ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 248.3924 - mae: 11.7713 - val_loss: 248.8655 - val_mae: 12.5330 - 183ms/epoch - 18ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 246.0262 - mae: 11.5509 - val_loss: 248.2428 - val_mae: 12.5112 - 182ms/epoch - 18ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 242.7682 - mae: 11.3743 - val_loss: 242.8932 - val_mae: 12.2207 - 181ms/epoch - 18ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 240.9854 - mae: 11.4041 - val_loss: 241.5634 - val_mae: 12.1297 - 187ms/epoch - 19ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 234.2396 - mae: 11.2500 - val_loss: 240.4217 - val_mae: 12.1267 - 185ms/epoch - 18ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 234.3977 - mae: 11.2666 - val_loss: 239.7827 - val_mae: 12.0901 - 201ms/epoch - 20ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 228.3152 - mae: 11.0587 - val_loss: 239.4112 - val_mae: 12.0321 - 133ms/epoch - 13ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 223.4567 - mae: 10.9551 - val_loss: 240.0315 - val_mae: 11.9721 - 91ms/epoch - 9ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 224.8431 - mae: 10.8047 - val_loss: 267.5765 - val_mae: 12.6816 - 93ms/epoch - 9ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 249.1348 - mae: 11.7159 - val_loss: 268.7717 - val_mae: 12.5468 - 93ms/epoch - 9ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 243.8446 - mae: 11.5820 - val_loss: 263.5815 - val_mae: 12.4155 - 102ms/epoch - 10ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 226.7098 - mae: 10.9170 - val_loss: 244.8508 - val_mae: 12.0773 - 107ms/epoch - 11ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 222.9932 - mae: 10.9591 - val_loss: 235.9675 - val_mae: 11.7524 - 121ms/epoch - 12ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 218.7994 - mae: 10.7622 - val_loss: 238.2226 - val_mae: 11.7226 - 86ms/epoch - 9ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 215.4647 - mae: 10.5873 - val_loss: 238.0761 - val_mae: 11.7588 - 102ms/epoch - 10ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 211.4447 - mae: 10.4552 - val_loss: 241.5477 - val_mae: 11.6391 - 97ms/epoch - 10ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 213.7409 - mae: 10.5892 - val_loss: 236.6811 - val_mae: 11.6397 - 103ms/epoch - 10ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 213.3166 - mae: 10.4042 - val_loss: 237.3407 - val_mae: 11.6418 - 112ms/epoch - 11ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 209.3816 - mae: 10.4549 - val_loss: 237.5094 - val_mae: 11.5278 - 91ms/epoch - 9ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 210.0446 - mae: 10.3830 - val_loss: 236.5435 - val_mae: 11.5737 - 98ms/epoch - 10ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 212.6799 - mae: 10.4510 - val_loss: 234.9443 - val_mae: 11.4732 - 147ms/epoch - 15ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 208.1445 - mae: 10.4024 - val_loss: 238.0826 - val_mae: 11.6035 - 94ms/epoch - 9ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 208.2307 - mae: 10.3761 - val_loss: 238.2129 - val_mae: 11.4567 - 86ms/epoch - 9ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 204.4633 - mae: 10.2279 - val_loss: 236.8248 - val_mae: 11.4221 - 98ms/epoch - 10ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 209.1951 - mae: 10.4182 - val_loss: 240.4881 - val_mae: 11.4962 - 102ms/epoch - 10ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 205.3600 - mae: 10.2423 - val_loss: 234.7629 - val_mae: 11.3495 - 143ms/epoch - 14ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 204.9295 - mae: 10.2451 - val_loss: 253.2253 - val_mae: 12.0103 - 100ms/epoch - 10ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 224.1825 - mae: 10.7849 - val_loss: 235.2585 - val_mae: 11.4457 - 95ms/epoch - 10ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 213.1458 - mae: 10.6696 - val_loss: 235.1007 - val_mae: 11.3661 - 104ms/epoch - 10ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 208.9174 - mae: 10.4482 - val_loss: 274.6907 - val_mae: 12.6155 - 107ms/epoch - 11ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 213.6089 - mae: 10.6781 - val_loss: 231.5800 - val_mae: 11.2369 - 136ms/epoch - 14ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 200.2908 - mae: 10.0290 - val_loss: 231.9461 - val_mae: 11.2043 - 102ms/epoch - 10ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 199.5677 - mae: 10.1361 - val_loss: 233.3435 - val_mae: 11.2487 - 106ms/epoch - 11ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 198.5155 - mae: 10.0144 - val_loss: 231.2858 - val_mae: 11.1626 - 118ms/epoch - 12ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 197.2135 - mae: 9.9803 - val_loss: 230.8891 - val_mae: 11.1261 - 143ms/epoch - 14ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 202.5558 - mae: 10.2289 - val_loss: 265.0185 - val_mae: 12.2280 - 92ms/epoch - 9ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 205.5658 - mae: 10.4808 - val_loss: 233.1112 - val_mae: 11.1652 - 90ms/epoch - 9ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 216.2047 - mae: 10.6600 - val_loss: 228.5824 - val_mae: 11.0045 - 139ms/epoch - 14ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 201.4999 - mae: 10.0270 - val_loss: 233.9001 - val_mae: 11.2446 - 109ms/epoch - 11ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 201.8304 - mae: 10.3110 - val_loss: 235.2672 - val_mae: 11.2166 - 104ms/epoch - 10ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 196.3829 - mae: 9.8911 - val_loss: 233.2118 - val_mae: 11.1397 - 90ms/epoch - 9ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 200.4305 - mae: 10.2181 - val_loss: 270.8226 - val_mae: 12.4685 - 102ms/epoch - 10ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 201.9511 - mae: 10.0559 - val_loss: 230.6837 - val_mae: 11.1410 - 104ms/epoch - 10ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 198.6163 - mae: 10.0304 - val_loss: 227.0974 - val_mae: 10.9235 - 135ms/epoch - 14ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 200.2084 - mae: 10.1895 - val_loss: 239.1603 - val_mae: 11.3207 - 105ms/epoch - 11ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 194.4434 - mae: 9.9071 - val_loss: 231.4669 - val_mae: 11.0500 - 101ms/epoch - 10ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 193.2537 - mae: 9.8748 - val_loss: 225.1128 - val_mae: 10.8053 - 130ms/epoch - 13ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 191.9064 - mae: 9.7025 - val_loss: 229.3661 - val_mae: 10.9418 - 107ms/epoch - 11ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 195.5104 - mae: 9.9031 - val_loss: 245.6010 - val_mae: 11.5245 - 97ms/epoch - 10ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 195.0525 - mae: 9.9964 - val_loss: 233.1824 - val_mae: 11.0824 - 83ms/epoch - 8ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 191.4728 - mae: 9.7773 - val_loss: 224.7993 - val_mae: 10.7934 - 133ms/epoch - 13ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 199.1037 - mae: 9.9472 - val_loss: 245.3844 - val_mae: 11.7473 - 90ms/epoch - 9ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 203.0037 - mae: 10.2406 - val_loss: 225.7388 - val_mae: 10.8169 - 91ms/epoch - 9ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 188.6060 - mae: 9.6157 - val_loss: 223.4330 - val_mae: 10.7321 - 132ms/epoch - 13ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 188.2766 - mae: 9.7553 - val_loss: 255.2295 - val_mae: 11.8517 - 113ms/epoch - 11ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 196.2199 - mae: 9.9836 - val_loss: 234.2225 - val_mae: 11.0693 - 108ms/epoch - 11ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 188.4121 - mae: 9.6412 - val_loss: 225.8929 - val_mae: 10.8410 - 108ms/epoch - 11ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 196.7760 - mae: 9.9835 - val_loss: 221.5336 - val_mae: 10.6099 - 124ms/epoch - 12ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 200.9900 - mae: 10.0456 - val_loss: 225.2301 - val_mae: 10.6844 - 111ms/epoch - 11ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 188.2873 - mae: 9.5747 - val_loss: 225.4707 - val_mae: 10.7242 - 109ms/epoch - 11ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 185.7818 - mae: 9.4937 - val_loss: 223.3022 - val_mae: 10.6572 - 103ms/epoch - 10ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 186.9877 - mae: 9.5962 - val_loss: 230.3903 - val_mae: 10.9108 - 102ms/epoch - 10ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 185.7394 - mae: 9.5418 - val_loss: 240.9783 - val_mae: 11.3223 - 106ms/epoch - 11ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 186.2713 - mae: 9.7237 - val_loss: 245.9178 - val_mae: 11.7377 - 99ms/epoch - 10ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 202.6269 - mae: 10.1540 - val_loss: 223.3464 - val_mae: 10.7340 - 103ms/epoch - 10ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 195.5042 - mae: 9.9725 - val_loss: 223.7063 - val_mae: 10.7589 - 86ms/epoch - 9ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 199.9033 - mae: 9.9961 - val_loss: 219.8517 - val_mae: 10.5951 - 128ms/epoch - 13ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 203.1958 - mae: 10.3392 - val_loss: 237.7883 - val_mae: 11.1524 - 88ms/epoch - 9ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 187.6956 - mae: 9.6861 - val_loss: 238.8835 - val_mae: 11.2458 - 98ms/epoch - 10ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 187.1395 - mae: 9.6869 - val_loss: 220.0872 - val_mae: 10.5993 - 96ms/epoch - 10ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 184.2012 - mae: 9.4392 - val_loss: 220.1043 - val_mae: 10.5148 - 89ms/epoch - 9ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 183.3425 - mae: 9.3913 - val_loss: 219.2527 - val_mae: 10.4769 - 130ms/epoch - 13ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 182.5425 - mae: 9.4193 - val_loss: 224.4316 - val_mae: 10.6087 - 91ms/epoch - 9ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 183.7785 - mae: 9.4319 - val_loss: 221.7006 - val_mae: 10.5099 - 84ms/epoch - 8ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 184.8817 - mae: 9.4663 - val_loss: 220.6581 - val_mae: 10.4768 - 99ms/epoch - 10ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 183.5260 - mae: 9.3244 - val_loss: 218.0119 - val_mae: 10.4277 - 134ms/epoch - 13ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 196.0206 - mae: 10.0680 - val_loss: 238.3927 - val_mae: 11.1072 - 104ms/epoch - 10ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 179.5728 - mae: 9.3571 - val_loss: 216.3982 - val_mae: 10.4107 - 128ms/epoch - 13ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 187.2826 - mae: 9.6050 - val_loss: 218.4193 - val_mae: 10.4783 - 93ms/epoch - 9ms/step\n","\n","\n","Training FCN ============= with mean_absolute_error\n","\n","Epoch 1/125\n","10/10 - 2s - loss: 79.7533 - mae: 79.7533 - val_loss: 79.6411 - val_mae: 79.6411 - 2s/epoch - 188ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 79.1998 - mae: 79.1998 - val_loss: 78.4354 - val_mae: 78.4354 - 131ms/epoch - 13ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 76.6160 - mae: 76.6160 - val_loss: 72.5360 - val_mae: 72.5360 - 131ms/epoch - 13ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 63.9644 - mae: 63.9644 - val_loss: 43.7878 - val_mae: 43.7878 - 139ms/epoch - 14ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 26.5990 - mae: 26.5990 - val_loss: 24.2006 - val_mae: 24.2006 - 136ms/epoch - 14ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 17.5929 - mae: 17.5929 - val_loss: 16.4907 - val_mae: 16.4907 - 152ms/epoch - 15ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 16.2167 - mae: 16.2167 - val_loss: 16.0334 - val_mae: 16.0334 - 131ms/epoch - 13ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 15.6127 - mae: 15.6127 - val_loss: 14.8230 - val_mae: 14.8230 - 115ms/epoch - 11ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 14.7477 - mae: 14.7477 - val_loss: 14.6006 - val_mae: 14.6006 - 136ms/epoch - 14ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 14.0291 - mae: 14.0291 - val_loss: 14.1239 - val_mae: 14.1239 - 118ms/epoch - 12ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 13.5360 - mae: 13.5360 - val_loss: 13.8759 - val_mae: 13.8759 - 121ms/epoch - 12ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 13.2747 - mae: 13.2747 - val_loss: 13.7469 - val_mae: 13.7469 - 132ms/epoch - 13ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 13.1076 - mae: 13.1076 - val_loss: 13.8503 - val_mae: 13.8503 - 105ms/epoch - 11ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 13.0141 - mae: 13.0141 - val_loss: 13.5468 - val_mae: 13.5468 - 149ms/epoch - 15ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 12.8146 - mae: 12.8146 - val_loss: 13.9903 - val_mae: 13.9903 - 94ms/epoch - 9ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 12.9441 - mae: 12.9441 - val_loss: 13.6268 - val_mae: 13.6268 - 87ms/epoch - 9ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 12.9045 - mae: 12.9045 - val_loss: 13.9190 - val_mae: 13.9190 - 102ms/epoch - 10ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 13.3205 - mae: 13.3205 - val_loss: 13.3312 - val_mae: 13.3312 - 135ms/epoch - 14ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 12.9306 - mae: 12.9306 - val_loss: 13.7750 - val_mae: 13.7750 - 98ms/epoch - 10ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 12.8423 - mae: 12.8423 - val_loss: 15.0548 - val_mae: 15.0548 - 99ms/epoch - 10ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 12.9494 - mae: 12.9494 - val_loss: 13.3089 - val_mae: 13.3089 - 131ms/epoch - 13ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 12.5144 - mae: 12.5144 - val_loss: 13.3081 - val_mae: 13.3081 - 119ms/epoch - 12ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 12.6910 - mae: 12.6910 - val_loss: 14.2481 - val_mae: 14.2481 - 106ms/epoch - 11ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 13.0149 - mae: 13.0149 - val_loss: 13.1577 - val_mae: 13.1577 - 144ms/epoch - 14ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 12.6379 - mae: 12.6379 - val_loss: 13.0354 - val_mae: 13.0354 - 131ms/epoch - 13ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 12.2278 - mae: 12.2278 - val_loss: 13.1259 - val_mae: 13.1259 - 93ms/epoch - 9ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 12.2689 - mae: 12.2689 - val_loss: 13.1640 - val_mae: 13.1640 - 108ms/epoch - 11ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 12.3479 - mae: 12.3479 - val_loss: 12.9662 - val_mae: 12.9662 - 131ms/epoch - 13ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 12.1570 - mae: 12.1570 - val_loss: 12.9429 - val_mae: 12.9429 - 153ms/epoch - 15ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 12.1200 - mae: 12.1200 - val_loss: 12.8340 - val_mae: 12.8340 - 151ms/epoch - 15ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 12.1424 - mae: 12.1424 - val_loss: 13.1883 - val_mae: 13.1883 - 110ms/epoch - 11ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 12.0971 - mae: 12.0971 - val_loss: 13.3348 - val_mae: 13.3348 - 109ms/epoch - 11ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 12.0880 - mae: 12.0880 - val_loss: 12.8022 - val_mae: 12.8022 - 138ms/epoch - 14ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 11.7608 - mae: 11.7608 - val_loss: 12.9222 - val_mae: 12.9222 - 112ms/epoch - 11ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 11.6839 - mae: 11.6839 - val_loss: 12.5996 - val_mae: 12.5996 - 137ms/epoch - 14ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 11.8000 - mae: 11.8000 - val_loss: 12.5171 - val_mae: 12.5171 - 170ms/epoch - 17ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 11.6391 - mae: 11.6391 - val_loss: 13.1435 - val_mae: 13.1435 - 97ms/epoch - 10ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 12.1767 - mae: 12.1767 - val_loss: 12.6478 - val_mae: 12.6478 - 106ms/epoch - 11ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 11.7099 - mae: 11.7099 - val_loss: 12.3893 - val_mae: 12.3893 - 152ms/epoch - 15ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 11.5166 - mae: 11.5166 - val_loss: 12.3425 - val_mae: 12.3425 - 142ms/epoch - 14ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 11.3143 - mae: 11.3143 - val_loss: 12.9766 - val_mae: 12.9766 - 106ms/epoch - 11ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 12.1076 - mae: 12.1076 - val_loss: 12.7248 - val_mae: 12.7248 - 113ms/epoch - 11ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 11.4841 - mae: 11.4841 - val_loss: 12.2702 - val_mae: 12.2702 - 126ms/epoch - 13ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 11.6591 - mae: 11.6591 - val_loss: 12.2492 - val_mae: 12.2492 - 151ms/epoch - 15ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 11.4532 - mae: 11.4532 - val_loss: 12.5924 - val_mae: 12.5924 - 97ms/epoch - 10ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 11.6754 - mae: 11.6754 - val_loss: 11.9460 - val_mae: 11.9460 - 154ms/epoch - 15ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 11.7931 - mae: 11.7931 - val_loss: 11.9421 - val_mae: 11.9421 - 143ms/epoch - 14ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 11.0693 - mae: 11.0693 - val_loss: 11.9955 - val_mae: 11.9955 - 108ms/epoch - 11ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 11.0335 - mae: 11.0335 - val_loss: 12.5889 - val_mae: 12.5889 - 98ms/epoch - 10ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 11.0326 - mae: 11.0326 - val_loss: 11.7385 - val_mae: 11.7385 - 135ms/epoch - 14ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 10.8989 - mae: 10.8989 - val_loss: 11.9191 - val_mae: 11.9191 - 104ms/epoch - 10ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 10.7757 - mae: 10.7757 - val_loss: 11.7948 - val_mae: 11.7948 - 110ms/epoch - 11ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 10.8526 - mae: 10.8526 - val_loss: 11.7698 - val_mae: 11.7698 - 100ms/epoch - 10ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 10.8359 - mae: 10.8359 - val_loss: 11.5119 - val_mae: 11.5119 - 136ms/epoch - 14ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 10.6346 - mae: 10.6346 - val_loss: 11.8157 - val_mae: 11.8157 - 96ms/epoch - 10ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 10.7984 - mae: 10.7984 - val_loss: 11.6745 - val_mae: 11.6745 - 106ms/epoch - 11ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 10.6756 - mae: 10.6756 - val_loss: 11.4034 - val_mae: 11.4034 - 133ms/epoch - 13ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 11.3676 - mae: 11.3676 - val_loss: 12.0436 - val_mae: 12.0436 - 103ms/epoch - 10ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 11.1150 - mae: 11.1150 - val_loss: 11.9848 - val_mae: 11.9848 - 97ms/epoch - 10ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 10.9686 - mae: 10.9686 - val_loss: 11.2212 - val_mae: 11.2212 - 125ms/epoch - 12ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 10.3539 - mae: 10.3539 - val_loss: 11.3791 - val_mae: 11.3791 - 117ms/epoch - 12ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 10.4383 - mae: 10.4383 - val_loss: 11.2271 - val_mae: 11.2271 - 110ms/epoch - 11ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 10.3581 - mae: 10.3581 - val_loss: 11.8553 - val_mae: 11.8553 - 106ms/epoch - 11ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 10.4778 - mae: 10.4778 - val_loss: 11.0611 - val_mae: 11.0611 - 151ms/epoch - 15ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 10.1655 - mae: 10.1655 - val_loss: 11.0287 - val_mae: 11.0287 - 143ms/epoch - 14ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 10.2871 - mae: 10.2871 - val_loss: 11.4104 - val_mae: 11.4104 - 126ms/epoch - 13ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 10.1831 - mae: 10.1831 - val_loss: 10.9393 - val_mae: 10.9393 - 210ms/epoch - 21ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 10.2161 - mae: 10.2161 - val_loss: 10.9470 - val_mae: 10.9470 - 171ms/epoch - 17ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 10.2387 - mae: 10.2387 - val_loss: 10.8659 - val_mae: 10.8659 - 218ms/epoch - 22ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 9.9288 - mae: 9.9288 - val_loss: 10.8059 - val_mae: 10.8059 - 237ms/epoch - 24ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 9.8474 - mae: 9.8474 - val_loss: 11.2718 - val_mae: 11.2718 - 155ms/epoch - 15ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 10.2609 - mae: 10.2609 - val_loss: 11.3813 - val_mae: 11.3813 - 166ms/epoch - 17ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 10.4497 - mae: 10.4497 - val_loss: 10.6796 - val_mae: 10.6796 - 237ms/epoch - 24ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 9.7277 - mae: 9.7277 - val_loss: 11.2162 - val_mae: 11.2162 - 166ms/epoch - 17ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 10.1359 - mae: 10.1359 - val_loss: 11.4520 - val_mae: 11.4520 - 166ms/epoch - 17ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 10.1921 - mae: 10.1921 - val_loss: 10.6488 - val_mae: 10.6488 - 216ms/epoch - 22ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 10.3057 - mae: 10.3057 - val_loss: 11.1749 - val_mae: 11.1749 - 172ms/epoch - 17ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 10.0676 - mae: 10.0676 - val_loss: 10.8532 - val_mae: 10.8532 - 147ms/epoch - 15ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 10.0159 - mae: 10.0159 - val_loss: 10.5667 - val_mae: 10.5667 - 215ms/epoch - 21ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 9.9907 - mae: 9.9907 - val_loss: 11.0425 - val_mae: 11.0425 - 155ms/epoch - 16ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 9.9473 - mae: 9.9473 - val_loss: 11.2884 - val_mae: 11.2884 - 161ms/epoch - 16ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 9.8183 - mae: 9.8183 - val_loss: 10.5929 - val_mae: 10.5929 - 168ms/epoch - 17ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 9.6102 - mae: 9.6102 - val_loss: 10.4688 - val_mae: 10.4688 - 228ms/epoch - 23ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 10.0024 - mae: 10.0024 - val_loss: 10.4580 - val_mae: 10.4580 - 218ms/epoch - 22ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 9.8054 - mae: 9.8054 - val_loss: 10.8041 - val_mae: 10.8041 - 171ms/epoch - 17ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 9.6473 - mae: 9.6473 - val_loss: 10.5607 - val_mae: 10.5607 - 176ms/epoch - 18ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 9.7596 - mae: 9.7596 - val_loss: 10.4004 - val_mae: 10.4004 - 234ms/epoch - 23ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 9.6483 - mae: 9.6483 - val_loss: 10.4239 - val_mae: 10.4239 - 155ms/epoch - 15ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 9.7381 - mae: 9.7381 - val_loss: 10.3757 - val_mae: 10.3757 - 205ms/epoch - 20ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 9.6912 - mae: 9.6912 - val_loss: 10.4899 - val_mae: 10.4899 - 152ms/epoch - 15ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 9.6623 - mae: 9.6623 - val_loss: 10.3567 - val_mae: 10.3567 - 145ms/epoch - 14ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 9.5181 - mae: 9.5181 - val_loss: 10.7476 - val_mae: 10.7476 - 96ms/epoch - 10ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 9.8385 - mae: 9.8385 - val_loss: 10.2661 - val_mae: 10.2661 - 124ms/epoch - 12ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 9.5727 - mae: 9.5727 - val_loss: 10.5193 - val_mae: 10.5193 - 123ms/epoch - 12ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 9.9351 - mae: 9.9351 - val_loss: 10.1655 - val_mae: 10.1655 - 137ms/epoch - 14ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 9.3486 - mae: 9.3486 - val_loss: 10.1692 - val_mae: 10.1692 - 106ms/epoch - 11ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 9.5348 - mae: 9.5348 - val_loss: 10.3842 - val_mae: 10.3842 - 111ms/epoch - 11ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 9.4142 - mae: 9.4142 - val_loss: 10.1277 - val_mae: 10.1277 - 151ms/epoch - 15ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 9.3038 - mae: 9.3038 - val_loss: 10.1587 - val_mae: 10.1587 - 113ms/epoch - 11ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 9.6914 - mae: 9.6914 - val_loss: 10.0774 - val_mae: 10.0774 - 132ms/epoch - 13ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 9.9969 - mae: 9.9969 - val_loss: 11.3763 - val_mae: 11.3763 - 94ms/epoch - 9ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 9.8081 - mae: 9.8081 - val_loss: 10.4762 - val_mae: 10.4762 - 96ms/epoch - 10ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 9.2346 - mae: 9.2346 - val_loss: 9.9492 - val_mae: 9.9492 - 136ms/epoch - 14ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 9.2310 - mae: 9.2310 - val_loss: 10.0316 - val_mae: 10.0316 - 101ms/epoch - 10ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 9.1474 - mae: 9.1474 - val_loss: 10.0827 - val_mae: 10.0827 - 104ms/epoch - 10ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 9.2192 - mae: 9.2192 - val_loss: 10.3102 - val_mae: 10.3102 - 91ms/epoch - 9ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 9.1767 - mae: 9.1767 - val_loss: 10.5465 - val_mae: 10.5465 - 106ms/epoch - 11ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 9.2170 - mae: 9.2170 - val_loss: 9.7211 - val_mae: 9.7211 - 129ms/epoch - 13ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 9.0808 - mae: 9.0808 - val_loss: 9.7278 - val_mae: 9.7278 - 112ms/epoch - 11ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 9.0217 - mae: 9.0217 - val_loss: 9.7231 - val_mae: 9.7231 - 108ms/epoch - 11ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 9.0394 - mae: 9.0394 - val_loss: 9.7182 - val_mae: 9.7182 - 157ms/epoch - 16ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 9.0517 - mae: 9.0517 - val_loss: 10.0604 - val_mae: 10.0604 - 113ms/epoch - 11ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 8.9782 - mae: 8.9782 - val_loss: 10.3148 - val_mae: 10.3148 - 104ms/epoch - 10ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 9.1118 - mae: 9.1118 - val_loss: 10.3176 - val_mae: 10.3176 - 110ms/epoch - 11ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 9.2592 - mae: 9.2592 - val_loss: 10.8800 - val_mae: 10.8800 - 109ms/epoch - 11ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 9.4796 - mae: 9.4796 - val_loss: 10.9512 - val_mae: 10.9512 - 112ms/epoch - 11ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 9.2736 - mae: 9.2736 - val_loss: 11.2160 - val_mae: 11.2160 - 104ms/epoch - 10ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 9.1037 - mae: 9.1037 - val_loss: 9.8647 - val_mae: 9.8647 - 111ms/epoch - 11ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 9.1877 - mae: 9.1877 - val_loss: 9.6438 - val_mae: 9.6438 - 146ms/epoch - 15ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 9.0104 - mae: 9.0104 - val_loss: 9.4653 - val_mae: 9.4653 - 159ms/epoch - 16ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 8.7389 - mae: 8.7389 - val_loss: 10.2813 - val_mae: 10.2813 - 112ms/epoch - 11ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 9.3890 - mae: 9.3890 - val_loss: 10.1753 - val_mae: 10.1753 - 97ms/epoch - 10ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 8.9667 - mae: 8.9667 - val_loss: 9.8653 - val_mae: 9.8653 - 107ms/epoch - 11ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 9.2588 - mae: 9.2588 - val_loss: 9.7291 - val_mae: 9.7291 - 99ms/epoch - 10ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 9.0413 - mae: 9.0413 - val_loss: 9.6205 - val_mae: 9.6205 - 94ms/epoch - 9ms/step\n","\n","\n","Training FCN ============= with log_cosh\n","\n","Epoch 1/125\n","10/10 - 2s - loss: 78.5265 - mae: 79.2196 - val_loss: 77.6737 - val_mae: 78.3669 - 2s/epoch - 205ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 75.8156 - mae: 76.5087 - val_loss: 71.9830 - val_mae: 72.6762 - 143ms/epoch - 14ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 64.1173 - mae: 64.8104 - val_loss: 46.7194 - val_mae: 47.4125 - 197ms/epoch - 20ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 26.3468 - mae: 27.0318 - val_loss: 23.2510 - val_mae: 23.9395 - 218ms/epoch - 22ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 17.8682 - mae: 18.5524 - val_loss: 15.8957 - val_mae: 16.5775 - 228ms/epoch - 23ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 13.8499 - mae: 14.5290 - val_loss: 14.6706 - val_mae: 15.3548 - 209ms/epoch - 21ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 13.2996 - mae: 13.9645 - val_loss: 13.6057 - val_mae: 14.2769 - 229ms/epoch - 23ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 13.5409 - mae: 14.2196 - val_loss: 13.5163 - val_mae: 14.1997 - 202ms/epoch - 20ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 12.9125 - mae: 13.5882 - val_loss: 13.2183 - val_mae: 13.8681 - 220ms/epoch - 22ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 12.7161 - mae: 13.3867 - val_loss: 13.2385 - val_mae: 13.9145 - 147ms/epoch - 15ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 12.7133 - mae: 13.3835 - val_loss: 13.1572 - val_mae: 13.8193 - 198ms/epoch - 20ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 12.7396 - mae: 13.4051 - val_loss: 13.2525 - val_mae: 13.9242 - 159ms/epoch - 16ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 12.4673 - mae: 13.1332 - val_loss: 12.9698 - val_mae: 13.6323 - 214ms/epoch - 21ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 12.4086 - mae: 13.0846 - val_loss: 12.9212 - val_mae: 13.5879 - 211ms/epoch - 21ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 12.6147 - mae: 13.2937 - val_loss: 13.6891 - val_mae: 14.3747 - 173ms/epoch - 17ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 12.5706 - mae: 13.2485 - val_loss: 12.8507 - val_mae: 13.5201 - 216ms/epoch - 22ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 12.4890 - mae: 13.1701 - val_loss: 12.8465 - val_mae: 13.5141 - 219ms/epoch - 22ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 12.1986 - mae: 12.8704 - val_loss: 12.7250 - val_mae: 13.3862 - 225ms/epoch - 22ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 12.0759 - mae: 12.7437 - val_loss: 12.6663 - val_mae: 13.3275 - 199ms/epoch - 20ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 12.0254 - mae: 12.6916 - val_loss: 13.0340 - val_mae: 13.7098 - 154ms/epoch - 15ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 12.2343 - mae: 12.9056 - val_loss: 12.8037 - val_mae: 13.4768 - 165ms/epoch - 16ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 12.0334 - mae: 12.7120 - val_loss: 12.4794 - val_mae: 13.1404 - 211ms/epoch - 21ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 12.2269 - mae: 12.9047 - val_loss: 12.9273 - val_mae: 13.5953 - 163ms/epoch - 16ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 12.2726 - mae: 12.9441 - val_loss: 12.4167 - val_mae: 13.0885 - 213ms/epoch - 21ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 12.4128 - mae: 13.0923 - val_loss: 13.0085 - val_mae: 13.6879 - 147ms/epoch - 15ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 11.7543 - mae: 12.4211 - val_loss: 12.3577 - val_mae: 13.0287 - 175ms/epoch - 18ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 11.5622 - mae: 12.2379 - val_loss: 12.6332 - val_mae: 13.3062 - 107ms/epoch - 11ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 11.7741 - mae: 12.4447 - val_loss: 12.6362 - val_mae: 13.3139 - 107ms/epoch - 11ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 11.9781 - mae: 12.6493 - val_loss: 12.1141 - val_mae: 12.7835 - 145ms/epoch - 15ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 11.2433 - mae: 11.9030 - val_loss: 11.8621 - val_mae: 12.5182 - 147ms/epoch - 15ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 11.1820 - mae: 11.8531 - val_loss: 11.7592 - val_mae: 12.4166 - 135ms/epoch - 13ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 11.3436 - mae: 12.0191 - val_loss: 13.0097 - val_mae: 13.6874 - 100ms/epoch - 10ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 11.1687 - mae: 11.8338 - val_loss: 11.7852 - val_mae: 12.4571 - 95ms/epoch - 9ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 10.8250 - mae: 11.4922 - val_loss: 12.4802 - val_mae: 13.1585 - 108ms/epoch - 11ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 11.2051 - mae: 11.8775 - val_loss: 11.4222 - val_mae: 12.0876 - 140ms/epoch - 14ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 11.4239 - mae: 12.0917 - val_loss: 12.5353 - val_mae: 13.2121 - 107ms/epoch - 11ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 11.3298 - mae: 12.0025 - val_loss: 11.4104 - val_mae: 12.0726 - 158ms/epoch - 16ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 10.6255 - mae: 11.2999 - val_loss: 11.6989 - val_mae: 12.3731 - 107ms/epoch - 11ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 10.9182 - mae: 11.5949 - val_loss: 11.5512 - val_mae: 12.2314 - 104ms/epoch - 10ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 10.5171 - mae: 11.1896 - val_loss: 10.9460 - val_mae: 11.6126 - 131ms/epoch - 13ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 10.4120 - mae: 11.0779 - val_loss: 11.3828 - val_mae: 12.0490 - 110ms/epoch - 11ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 10.2446 - mae: 10.9048 - val_loss: 10.8098 - val_mae: 11.4791 - 127ms/epoch - 13ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 9.9855 - mae: 10.6427 - val_loss: 10.8160 - val_mae: 11.5028 - 95ms/epoch - 10ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 9.8013 - mae: 10.4677 - val_loss: 10.6173 - val_mae: 11.2766 - 138ms/epoch - 14ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 9.7823 - mae: 10.4418 - val_loss: 10.5327 - val_mae: 11.1918 - 132ms/epoch - 13ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 9.6434 - mae: 10.3002 - val_loss: 10.6334 - val_mae: 11.3148 - 106ms/epoch - 11ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 9.8304 - mae: 10.4957 - val_loss: 10.8137 - val_mae: 11.4897 - 103ms/epoch - 10ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 10.1160 - mae: 10.7816 - val_loss: 10.3090 - val_mae: 10.9576 - 133ms/epoch - 13ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 9.7461 - mae: 10.4097 - val_loss: 11.1161 - val_mae: 11.7887 - 103ms/epoch - 10ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 9.6656 - mae: 10.3234 - val_loss: 10.6709 - val_mae: 11.3255 - 89ms/epoch - 9ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 9.6092 - mae: 10.2674 - val_loss: 11.1069 - val_mae: 11.7695 - 106ms/epoch - 11ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 9.4511 - mae: 10.1100 - val_loss: 10.1972 - val_mae: 10.8495 - 120ms/epoch - 12ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 9.5934 - mae: 10.2595 - val_loss: 10.0428 - val_mae: 10.7019 - 137ms/epoch - 14ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 9.9603 - mae: 10.6305 - val_loss: 10.3733 - val_mae: 11.0415 - 118ms/epoch - 12ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 9.5704 - mae: 10.2355 - val_loss: 10.1607 - val_mae: 10.8260 - 101ms/epoch - 10ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 9.2813 - mae: 9.9392 - val_loss: 10.0526 - val_mae: 10.7240 - 102ms/epoch - 10ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 9.0579 - mae: 9.7177 - val_loss: 9.9971 - val_mae: 10.6707 - 137ms/epoch - 14ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 9.2815 - mae: 9.9322 - val_loss: 9.8627 - val_mae: 10.5120 - 138ms/epoch - 14ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 8.9802 - mae: 9.6282 - val_loss: 9.8167 - val_mae: 10.4653 - 141ms/epoch - 14ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 9.2341 - mae: 9.8923 - val_loss: 9.9172 - val_mae: 10.5908 - 87ms/epoch - 9ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 8.9852 - mae: 9.6460 - val_loss: 9.7736 - val_mae: 10.4290 - 119ms/epoch - 12ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 8.8859 - mae: 9.5410 - val_loss: 9.9167 - val_mae: 10.5908 - 109ms/epoch - 11ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 9.1096 - mae: 9.7655 - val_loss: 9.9135 - val_mae: 10.5868 - 110ms/epoch - 11ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 8.9048 - mae: 9.5587 - val_loss: 9.7015 - val_mae: 10.3624 - 117ms/epoch - 12ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 9.2927 - mae: 9.9581 - val_loss: 9.6698 - val_mae: 10.3401 - 143ms/epoch - 14ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 8.8545 - mae: 9.5047 - val_loss: 9.6577 - val_mae: 10.3236 - 125ms/epoch - 13ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 8.6337 - mae: 9.2646 - val_loss: 9.9787 - val_mae: 10.6108 - 102ms/epoch - 10ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 8.9738 - mae: 9.6368 - val_loss: 10.4808 - val_mae: 11.1477 - 84ms/epoch - 8ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 8.7669 - mae: 9.4153 - val_loss: 9.7969 - val_mae: 10.4492 - 104ms/epoch - 10ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 8.6693 - mae: 9.3180 - val_loss: 10.0433 - val_mae: 10.6745 - 84ms/epoch - 8ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 8.8660 - mae: 9.5251 - val_loss: 10.5960 - val_mae: 11.2637 - 100ms/epoch - 10ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 9.0864 - mae: 9.7512 - val_loss: 11.3342 - val_mae: 12.0133 - 117ms/epoch - 12ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 9.1897 - mae: 9.8509 - val_loss: 11.3158 - val_mae: 11.9934 - 101ms/epoch - 10ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 8.9649 - mae: 9.6245 - val_loss: 9.9485 - val_mae: 10.5902 - 102ms/epoch - 10ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 9.1925 - mae: 9.8514 - val_loss: 11.1187 - val_mae: 11.7921 - 106ms/epoch - 11ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 9.2452 - mae: 9.9013 - val_loss: 10.7662 - val_mae: 11.4347 - 84ms/epoch - 8ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 8.4912 - mae: 9.1422 - val_loss: 9.4370 - val_mae: 10.0952 - 115ms/epoch - 11ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 9.0486 - mae: 9.7054 - val_loss: 10.1270 - val_mae: 10.7897 - 100ms/epoch - 10ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 8.9153 - mae: 9.5756 - val_loss: 9.4785 - val_mae: 10.1445 - 85ms/epoch - 9ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 8.8942 - mae: 9.5591 - val_loss: 9.5745 - val_mae: 10.1910 - 97ms/epoch - 10ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 8.4173 - mae: 9.0687 - val_loss: 9.3825 - val_mae: 10.0398 - 125ms/epoch - 12ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 8.3984 - mae: 9.0519 - val_loss: 9.3720 - val_mae: 10.0455 - 142ms/epoch - 14ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 8.5223 - mae: 9.1778 - val_loss: 9.4857 - val_mae: 10.1191 - 89ms/epoch - 9ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 8.3474 - mae: 8.9970 - val_loss: 9.2614 - val_mae: 9.9203 - 147ms/epoch - 15ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 8.4051 - mae: 9.0440 - val_loss: 9.2537 - val_mae: 9.9278 - 124ms/epoch - 12ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 8.3512 - mae: 8.9949 - val_loss: 9.2508 - val_mae: 9.9000 - 117ms/epoch - 12ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 8.5132 - mae: 9.1768 - val_loss: 9.3027 - val_mae: 9.9812 - 88ms/epoch - 9ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 8.5670 - mae: 9.2240 - val_loss: 9.2780 - val_mae: 9.9495 - 100ms/epoch - 10ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 8.3910 - mae: 9.0457 - val_loss: 9.3783 - val_mae: 10.0446 - 93ms/epoch - 9ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 8.4814 - mae: 9.1416 - val_loss: 9.3070 - val_mae: 9.9847 - 96ms/epoch - 10ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 8.5025 - mae: 9.1613 - val_loss: 9.3576 - val_mae: 10.0218 - 95ms/epoch - 10ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 8.3336 - mae: 8.9820 - val_loss: 9.1849 - val_mae: 9.8265 - 131ms/epoch - 13ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 8.3674 - mae: 9.0159 - val_loss: 9.3041 - val_mae: 9.9525 - 107ms/epoch - 11ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 8.1881 - mae: 8.8431 - val_loss: 9.1789 - val_mae: 9.8379 - 135ms/epoch - 13ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 8.3200 - mae: 8.9751 - val_loss: 9.1228 - val_mae: 9.7586 - 119ms/epoch - 12ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 8.2740 - mae: 8.9207 - val_loss: 9.1650 - val_mae: 9.8148 - 90ms/epoch - 9ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 8.5641 - mae: 9.2245 - val_loss: 9.4432 - val_mae: 10.1071 - 104ms/epoch - 10ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 8.4810 - mae: 9.1313 - val_loss: 9.2398 - val_mae: 9.9046 - 85ms/epoch - 8ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 8.8808 - mae: 9.5396 - val_loss: 9.3045 - val_mae: 9.9688 - 92ms/epoch - 9ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 8.5607 - mae: 9.2037 - val_loss: 9.2854 - val_mae: 9.9405 - 106ms/epoch - 11ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 8.3086 - mae: 8.9611 - val_loss: 9.2112 - val_mae: 9.8757 - 107ms/epoch - 11ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 8.1341 - mae: 8.7839 - val_loss: 9.2746 - val_mae: 9.9285 - 88ms/epoch - 9ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 8.1298 - mae: 8.7791 - val_loss: 9.1358 - val_mae: 9.8086 - 98ms/epoch - 10ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 8.0978 - mae: 8.7400 - val_loss: 9.0573 - val_mae: 9.7165 - 115ms/epoch - 11ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 8.0687 - mae: 8.6983 - val_loss: 9.0534 - val_mae: 9.7243 - 124ms/epoch - 12ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 8.1857 - mae: 8.8370 - val_loss: 9.0491 - val_mae: 9.7146 - 129ms/epoch - 13ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 8.2120 - mae: 8.8639 - val_loss: 9.4454 - val_mae: 10.0993 - 102ms/epoch - 10ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 8.0150 - mae: 8.6471 - val_loss: 8.9919 - val_mae: 9.6588 - 119ms/epoch - 12ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 8.0706 - mae: 8.7152 - val_loss: 9.0424 - val_mae: 9.7117 - 102ms/epoch - 10ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 8.1617 - mae: 8.7985 - val_loss: 9.2350 - val_mae: 9.8825 - 98ms/epoch - 10ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 8.0379 - mae: 8.6785 - val_loss: 8.9290 - val_mae: 9.5843 - 136ms/epoch - 14ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 8.0111 - mae: 8.6627 - val_loss: 9.2512 - val_mae: 9.8955 - 100ms/epoch - 10ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 8.1383 - mae: 8.7909 - val_loss: 10.1967 - val_mae: 10.8346 - 103ms/epoch - 10ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 8.4388 - mae: 9.0916 - val_loss: 10.1867 - val_mae: 10.8327 - 96ms/epoch - 10ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 8.3642 - mae: 9.0130 - val_loss: 8.9672 - val_mae: 9.6252 - 137ms/epoch - 14ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 8.0087 - mae: 8.6532 - val_loss: 9.0899 - val_mae: 9.7461 - 137ms/epoch - 14ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 7.9651 - mae: 8.6069 - val_loss: 8.9817 - val_mae: 9.6477 - 138ms/epoch - 14ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 7.9311 - mae: 8.5742 - val_loss: 9.4916 - val_mae: 10.1555 - 159ms/epoch - 16ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 8.2546 - mae: 8.8993 - val_loss: 9.1790 - val_mae: 9.8178 - 158ms/epoch - 16ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 7.9121 - mae: 8.5463 - val_loss: 9.2351 - val_mae: 9.8801 - 140ms/epoch - 14ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 7.9947 - mae: 8.6356 - val_loss: 9.1073 - val_mae: 9.7540 - 140ms/epoch - 14ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 7.9156 - mae: 8.5503 - val_loss: 9.4239 - val_mae: 10.0866 - 139ms/epoch - 14ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 8.0920 - mae: 8.7474 - val_loss: 9.5731 - val_mae: 10.2381 - 142ms/epoch - 14ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 8.2635 - mae: 8.9106 - val_loss: 8.9369 - val_mae: 9.5977 - 155ms/epoch - 15ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 8.0646 - mae: 8.7090 - val_loss: 9.0494 - val_mae: 9.6942 - 179ms/epoch - 18ms/step\n","\n","\n","Training FCN_Residual ============= with huber_loss\n","\n","Epoch 1/125\n","10/10 - 5s - loss: 66.4853 - mae: 66.9853 - val_loss: 24.5464 - val_mae: 25.0415 - 5s/epoch - 500ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 19.7107 - mae: 20.1993 - val_loss: 17.6297 - val_mae: 18.1290 - 388ms/epoch - 39ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 13.0350 - mae: 13.5295 - val_loss: 11.3802 - val_mae: 11.8736 - 417ms/epoch - 42ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 11.5016 - mae: 11.9908 - val_loss: 11.6933 - val_mae: 12.1869 - 330ms/epoch - 33ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 11.5283 - mae: 12.0150 - val_loss: 12.0128 - val_mae: 12.5055 - 322ms/epoch - 32ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 11.6894 - mae: 12.1751 - val_loss: 11.6455 - val_mae: 12.1360 - 330ms/epoch - 33ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 11.7646 - mae: 12.2582 - val_loss: 12.0093 - val_mae: 12.5077 - 322ms/epoch - 32ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 11.2373 - mae: 11.7298 - val_loss: 11.5956 - val_mae: 12.0820 - 313ms/epoch - 31ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 11.6061 - mae: 12.0996 - val_loss: 11.5695 - val_mae: 12.0575 - 322ms/epoch - 32ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 11.2751 - mae: 11.7692 - val_loss: 11.0949 - val_mae: 11.5910 - 397ms/epoch - 40ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 10.9294 - mae: 11.4160 - val_loss: 11.0703 - val_mae: 11.5617 - 401ms/epoch - 40ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 10.8660 - mae: 11.3547 - val_loss: 11.1271 - val_mae: 11.6107 - 309ms/epoch - 31ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 10.9170 - mae: 11.4088 - val_loss: 11.0439 - val_mae: 11.5376 - 415ms/epoch - 41ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 10.8983 - mae: 11.3920 - val_loss: 11.0107 - val_mae: 11.5055 - 384ms/epoch - 38ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 11.0819 - mae: 11.5715 - val_loss: 12.1112 - val_mae: 12.6033 - 325ms/epoch - 33ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 10.7413 - mae: 11.2282 - val_loss: 11.4151 - val_mae: 11.9151 - 309ms/epoch - 31ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 10.3610 - mae: 10.8506 - val_loss: 10.6981 - val_mae: 11.1937 - 399ms/epoch - 40ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 9.9863 - mae: 10.4731 - val_loss: 10.6262 - val_mae: 11.1142 - 412ms/epoch - 41ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 10.0464 - mae: 10.5368 - val_loss: 10.4419 - val_mae: 10.9268 - 386ms/epoch - 39ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 9.5732 - mae: 10.0573 - val_loss: 10.6771 - val_mae: 11.1651 - 321ms/epoch - 32ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 9.8340 - mae: 10.3201 - val_loss: 11.1072 - val_mae: 11.6069 - 324ms/epoch - 32ms/step\n","Epoch 22/125\n","10/10 - 1s - loss: 9.9753 - mae: 10.4671 - val_loss: 9.7136 - val_mae: 10.1818 - 632ms/epoch - 63ms/step\n","Epoch 23/125\n","10/10 - 1s - loss: 9.9816 - mae: 10.4659 - val_loss: 12.9051 - val_mae: 13.4050 - 563ms/epoch - 56ms/step\n","Epoch 24/125\n","10/10 - 1s - loss: 10.3187 - mae: 10.8117 - val_loss: 9.8274 - val_mae: 10.3111 - 570ms/epoch - 57ms/step\n","Epoch 25/125\n","10/10 - 1s - loss: 9.7045 - mae: 10.1954 - val_loss: 10.1834 - val_mae: 10.6783 - 555ms/epoch - 56ms/step\n","Epoch 26/125\n","10/10 - 1s - loss: 8.8703 - mae: 9.3561 - val_loss: 9.8458 - val_mae: 10.3410 - 591ms/epoch - 59ms/step\n","Epoch 27/125\n","10/10 - 1s - loss: 9.1873 - mae: 9.6765 - val_loss: 9.8444 - val_mae: 10.3347 - 550ms/epoch - 55ms/step\n","Epoch 28/125\n","10/10 - 1s - loss: 8.8785 - mae: 9.3568 - val_loss: 12.0802 - val_mae: 12.5748 - 589ms/epoch - 59ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 9.0914 - mae: 9.5764 - val_loss: 9.8603 - val_mae: 10.3292 - 457ms/epoch - 46ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 8.8317 - mae: 9.3200 - val_loss: 9.4327 - val_mae: 9.9142 - 392ms/epoch - 39ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 8.4839 - mae: 8.9586 - val_loss: 9.4128 - val_mae: 9.8836 - 401ms/epoch - 40ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 8.4575 - mae: 8.9389 - val_loss: 9.4369 - val_mae: 9.9032 - 322ms/epoch - 32ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 8.1849 - mae: 8.6651 - val_loss: 9.2601 - val_mae: 9.7349 - 372ms/epoch - 37ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 8.1069 - mae: 8.5877 - val_loss: 9.0991 - val_mae: 9.5834 - 402ms/epoch - 40ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 8.2372 - mae: 8.7079 - val_loss: 9.2206 - val_mae: 9.6991 - 323ms/epoch - 32ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 8.2677 - mae: 8.7402 - val_loss: 9.3692 - val_mae: 9.8464 - 326ms/epoch - 33ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 8.9463 - mae: 9.4310 - val_loss: 9.3481 - val_mae: 9.8230 - 319ms/epoch - 32ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 9.0171 - mae: 9.5038 - val_loss: 8.8044 - val_mae: 9.2949 - 384ms/epoch - 38ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 8.0226 - mae: 8.5059 - val_loss: 8.7311 - val_mae: 9.1779 - 395ms/epoch - 40ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 7.8870 - mae: 8.3679 - val_loss: 8.6124 - val_mae: 9.0820 - 398ms/epoch - 40ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 8.2311 - mae: 8.7126 - val_loss: 11.8559 - val_mae: 12.3473 - 311ms/epoch - 31ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 8.9377 - mae: 9.4244 - val_loss: 9.0973 - val_mae: 9.5746 - 332ms/epoch - 33ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 8.3205 - mae: 8.8097 - val_loss: 9.5109 - val_mae: 9.9990 - 320ms/epoch - 32ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 8.5259 - mae: 9.0151 - val_loss: 9.1201 - val_mae: 9.5967 - 324ms/epoch - 32ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 8.4364 - mae: 8.9184 - val_loss: 8.5224 - val_mae: 9.0046 - 415ms/epoch - 41ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 8.1847 - mae: 8.6678 - val_loss: 8.1445 - val_mae: 8.6265 - 388ms/epoch - 39ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 7.4033 - mae: 7.8765 - val_loss: 9.8663 - val_mae: 10.3583 - 316ms/epoch - 32ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 7.7539 - mae: 8.2324 - val_loss: 8.3248 - val_mae: 8.7991 - 331ms/epoch - 33ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 7.5724 - mae: 8.0568 - val_loss: 8.2693 - val_mae: 8.7518 - 333ms/epoch - 33ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 7.0608 - mae: 7.5329 - val_loss: 8.4607 - val_mae: 8.9240 - 319ms/epoch - 32ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 6.9181 - mae: 7.3908 - val_loss: 8.0093 - val_mae: 8.4754 - 405ms/epoch - 40ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 6.9652 - mae: 7.4412 - val_loss: 8.3418 - val_mae: 8.8333 - 314ms/epoch - 31ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 7.1426 - mae: 7.6203 - val_loss: 7.9630 - val_mae: 8.4370 - 387ms/epoch - 39ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 6.8117 - mae: 7.2887 - val_loss: 7.7931 - val_mae: 8.2726 - 398ms/epoch - 40ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 6.4993 - mae: 6.9667 - val_loss: 8.2188 - val_mae: 8.7075 - 306ms/epoch - 31ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 6.7578 - mae: 7.2262 - val_loss: 8.4216 - val_mae: 8.9087 - 300ms/epoch - 30ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 6.6329 - mae: 7.1045 - val_loss: 7.8022 - val_mae: 8.2635 - 346ms/epoch - 35ms/step\n","Epoch 58/125\n","10/10 - 1s - loss: 6.5985 - mae: 7.0731 - val_loss: 7.4583 - val_mae: 7.9212 - 661ms/epoch - 66ms/step\n","Epoch 59/125\n","10/10 - 1s - loss: 6.8132 - mae: 7.2821 - val_loss: 7.8670 - val_mae: 8.3236 - 611ms/epoch - 61ms/step\n","Epoch 60/125\n","10/10 - 1s - loss: 6.8342 - mae: 7.3078 - val_loss: 7.5707 - val_mae: 8.0457 - 610ms/epoch - 61ms/step\n","Epoch 61/125\n","10/10 - 1s - loss: 6.8669 - mae: 7.3438 - val_loss: 7.4515 - val_mae: 7.9323 - 663ms/epoch - 66ms/step\n","Epoch 62/125\n","10/10 - 1s - loss: 7.0398 - mae: 7.5159 - val_loss: 9.9600 - val_mae: 10.4441 - 542ms/epoch - 54ms/step\n","Epoch 63/125\n","10/10 - 1s - loss: 7.2820 - mae: 7.7635 - val_loss: 7.5141 - val_mae: 7.9924 - 539ms/epoch - 54ms/step\n","Epoch 64/125\n","10/10 - 1s - loss: 6.6558 - mae: 7.1281 - val_loss: 7.7343 - val_mae: 8.2054 - 546ms/epoch - 55ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 6.4893 - mae: 6.9646 - val_loss: 7.3467 - val_mae: 7.8222 - 412ms/epoch - 41ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 6.4225 - mae: 6.8961 - val_loss: 7.5319 - val_mae: 7.9905 - 319ms/epoch - 32ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 6.3593 - mae: 6.8239 - val_loss: 7.4570 - val_mae: 7.9374 - 319ms/epoch - 32ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 6.4076 - mae: 6.8779 - val_loss: 7.2175 - val_mae: 7.6706 - 378ms/epoch - 38ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 6.3295 - mae: 6.7989 - val_loss: 7.4786 - val_mae: 7.9578 - 329ms/epoch - 33ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 6.1819 - mae: 6.6494 - val_loss: 7.9253 - val_mae: 8.4129 - 338ms/epoch - 34ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 6.2910 - mae: 6.7611 - val_loss: 7.2851 - val_mae: 7.7541 - 309ms/epoch - 31ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 6.6311 - mae: 7.1102 - val_loss: 9.1418 - val_mae: 9.6391 - 315ms/epoch - 32ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 6.7595 - mae: 7.2261 - val_loss: 8.2195 - val_mae: 8.6838 - 332ms/epoch - 33ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 6.5704 - mae: 7.0481 - val_loss: 7.1277 - val_mae: 7.5925 - 395ms/epoch - 39ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 6.4522 - mae: 6.9292 - val_loss: 8.1088 - val_mae: 8.5978 - 325ms/epoch - 33ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 6.6113 - mae: 7.0918 - val_loss: 7.0694 - val_mae: 7.5381 - 420ms/epoch - 42ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 6.7617 - mae: 7.2449 - val_loss: 8.6972 - val_mae: 9.1927 - 309ms/epoch - 31ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 6.6739 - mae: 7.1490 - val_loss: 8.0348 - val_mae: 8.5143 - 306ms/epoch - 31ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 6.2720 - mae: 6.7410 - val_loss: 7.7594 - val_mae: 8.2428 - 337ms/epoch - 34ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 6.3080 - mae: 6.7762 - val_loss: 7.2590 - val_mae: 7.7297 - 306ms/epoch - 31ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 5.9785 - mae: 6.4510 - val_loss: 7.0331 - val_mae: 7.5070 - 435ms/epoch - 43ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 6.0142 - mae: 6.4751 - val_loss: 7.7673 - val_mae: 8.2398 - 336ms/epoch - 34ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 6.3111 - mae: 6.7801 - val_loss: 6.8090 - val_mae: 7.2988 - 379ms/epoch - 38ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 6.1901 - mae: 6.6615 - val_loss: 6.7270 - val_mae: 7.2050 - 399ms/epoch - 40ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 5.8732 - mae: 6.3406 - val_loss: 6.9884 - val_mae: 7.4705 - 344ms/epoch - 34ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 5.9617 - mae: 6.4212 - val_loss: 7.0065 - val_mae: 7.4760 - 306ms/epoch - 31ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 6.2694 - mae: 6.7457 - val_loss: 7.2126 - val_mae: 7.6908 - 332ms/epoch - 33ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 6.1142 - mae: 6.5919 - val_loss: 6.7177 - val_mae: 7.2025 - 382ms/epoch - 38ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 5.8062 - mae: 6.2717 - val_loss: 6.8773 - val_mae: 7.3454 - 306ms/epoch - 31ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 5.7100 - mae: 6.1712 - val_loss: 7.0774 - val_mae: 7.5415 - 328ms/epoch - 33ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 5.8424 - mae: 6.3168 - val_loss: 7.1347 - val_mae: 7.6179 - 309ms/epoch - 31ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 5.7829 - mae: 6.2544 - val_loss: 7.3906 - val_mae: 7.8524 - 341ms/epoch - 34ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 5.8741 - mae: 6.3445 - val_loss: 6.7526 - val_mae: 7.2319 - 311ms/epoch - 31ms/step\n","Epoch 94/125\n","10/10 - 1s - loss: 5.8874 - mae: 6.3574 - val_loss: 6.4859 - val_mae: 6.9604 - 614ms/epoch - 61ms/step\n","Epoch 95/125\n","10/10 - 1s - loss: 5.9136 - mae: 6.3793 - val_loss: 6.9260 - val_mae: 7.4019 - 566ms/epoch - 57ms/step\n","Epoch 96/125\n","10/10 - 1s - loss: 5.9425 - mae: 6.4108 - val_loss: 7.0463 - val_mae: 7.5244 - 556ms/epoch - 56ms/step\n","Epoch 97/125\n","10/10 - 1s - loss: 5.7998 - mae: 6.2714 - val_loss: 6.7480 - val_mae: 7.2325 - 559ms/epoch - 56ms/step\n","Epoch 98/125\n","10/10 - 1s - loss: 5.9452 - mae: 6.4037 - val_loss: 6.8970 - val_mae: 7.3764 - 556ms/epoch - 56ms/step\n","Epoch 99/125\n","10/10 - 1s - loss: 5.9449 - mae: 6.4123 - val_loss: 6.5731 - val_mae: 7.0425 - 553ms/epoch - 55ms/step\n","Epoch 100/125\n","10/10 - 1s - loss: 6.0353 - mae: 6.5064 - val_loss: 7.0392 - val_mae: 7.5267 - 562ms/epoch - 56ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 5.7790 - mae: 6.2517 - val_loss: 6.9926 - val_mae: 7.4555 - 491ms/epoch - 49ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 5.6807 - mae: 6.1473 - val_loss: 7.0524 - val_mae: 7.5472 - 295ms/epoch - 30ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 6.1014 - mae: 6.5765 - val_loss: 7.1926 - val_mae: 7.6769 - 366ms/epoch - 37ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 5.7584 - mae: 6.2196 - val_loss: 6.5851 - val_mae: 7.0706 - 312ms/epoch - 31ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 5.6217 - mae: 6.0910 - val_loss: 6.4679 - val_mae: 6.9223 - 395ms/epoch - 40ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 5.9954 - mae: 6.4696 - val_loss: 7.2988 - val_mae: 7.7853 - 324ms/epoch - 32ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 5.6098 - mae: 6.0796 - val_loss: 6.8270 - val_mae: 7.3084 - 329ms/epoch - 33ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 5.6303 - mae: 6.0948 - val_loss: 7.1808 - val_mae: 7.6609 - 305ms/epoch - 31ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 5.6363 - mae: 6.0999 - val_loss: 7.0779 - val_mae: 7.5306 - 320ms/epoch - 32ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 5.9366 - mae: 6.4009 - val_loss: 6.8482 - val_mae: 7.3335 - 317ms/epoch - 32ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 5.6182 - mae: 6.0896 - val_loss: 6.1945 - val_mae: 6.6667 - 374ms/epoch - 37ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 5.6218 - mae: 6.0800 - val_loss: 7.1566 - val_mae: 7.6184 - 327ms/epoch - 33ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 5.5013 - mae: 5.9605 - val_loss: 6.5667 - val_mae: 7.0281 - 313ms/epoch - 31ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 5.8662 - mae: 6.3435 - val_loss: 7.5573 - val_mae: 8.0398 - 301ms/epoch - 30ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 5.8515 - mae: 6.3304 - val_loss: 6.5572 - val_mae: 7.0294 - 325ms/epoch - 33ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 5.6941 - mae: 6.1557 - val_loss: 6.9313 - val_mae: 7.4028 - 318ms/epoch - 32ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 5.5939 - mae: 6.0643 - val_loss: 8.3390 - val_mae: 8.8168 - 312ms/epoch - 31ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 6.0367 - mae: 6.5147 - val_loss: 6.4181 - val_mae: 6.8691 - 325ms/epoch - 33ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 5.9789 - mae: 6.4547 - val_loss: 7.1897 - val_mae: 7.6581 - 306ms/epoch - 31ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 5.6142 - mae: 6.0912 - val_loss: 6.7246 - val_mae: 7.2008 - 310ms/epoch - 31ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 5.5340 - mae: 6.0015 - val_loss: 7.8111 - val_mae: 8.2887 - 332ms/epoch - 33ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 5.9723 - mae: 6.4554 - val_loss: 6.4961 - val_mae: 6.9676 - 309ms/epoch - 31ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 5.7701 - mae: 6.2433 - val_loss: 7.0406 - val_mae: 7.5001 - 326ms/epoch - 33ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 5.3004 - mae: 5.7617 - val_loss: 6.6142 - val_mae: 7.0804 - 320ms/epoch - 32ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 5.3088 - mae: 5.7758 - val_loss: 6.9295 - val_mae: 7.3888 - 303ms/epoch - 30ms/step\n","\n","\n","Training FCN_Residual ============= with mean_squared_error\n","\n","Epoch 1/125\n","10/10 - 5s - loss: 4882.7495 - mae: 66.8310 - val_loss: 525.5184 - val_mae: 18.7662 - 5s/epoch - 521ms/step\n","Epoch 2/125\n","10/10 - 1s - loss: 665.3761 - mae: 21.0863 - val_loss: 715.5491 - val_mae: 22.8906 - 539ms/epoch - 54ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 517.9755 - mae: 17.5330 - val_loss: 429.4232 - val_mae: 17.1000 - 464ms/epoch - 46ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 319.9198 - mae: 14.2505 - val_loss: 286.8479 - val_mae: 13.5764 - 389ms/epoch - 39ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 286.2855 - mae: 12.7788 - val_loss: 270.7892 - val_mae: 13.1973 - 373ms/epoch - 37ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 254.5273 - mae: 12.2795 - val_loss: 230.4368 - val_mae: 11.9242 - 397ms/epoch - 40ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 247.7333 - mae: 11.8680 - val_loss: 224.6501 - val_mae: 11.7967 - 383ms/epoch - 38ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 244.7126 - mae: 12.0310 - val_loss: 222.7966 - val_mae: 11.6059 - 391ms/epoch - 39ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 248.0709 - mae: 12.0128 - val_loss: 223.5514 - val_mae: 11.7680 - 357ms/epoch - 36ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 247.2020 - mae: 11.9329 - val_loss: 217.3418 - val_mae: 11.4236 - 418ms/epoch - 42ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 242.3385 - mae: 11.9002 - val_loss: 216.9117 - val_mae: 11.3882 - 413ms/epoch - 41ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 241.4768 - mae: 11.7570 - val_loss: 219.8398 - val_mae: 11.6191 - 322ms/epoch - 32ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 245.7614 - mae: 11.9286 - val_loss: 217.0097 - val_mae: 11.4633 - 320ms/epoch - 32ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 241.4448 - mae: 11.7986 - val_loss: 217.2489 - val_mae: 11.3587 - 318ms/epoch - 32ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 243.5722 - mae: 11.9821 - val_loss: 221.1342 - val_mae: 11.4409 - 305ms/epoch - 31ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 241.4973 - mae: 11.8385 - val_loss: 214.9091 - val_mae: 11.3888 - 418ms/epoch - 42ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 238.7295 - mae: 11.7494 - val_loss: 216.1003 - val_mae: 11.4668 - 365ms/epoch - 37ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 233.6135 - mae: 11.6195 - val_loss: 212.5562 - val_mae: 11.1748 - 382ms/epoch - 38ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 230.2683 - mae: 11.5538 - val_loss: 211.2591 - val_mae: 11.1317 - 372ms/epoch - 37ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 226.0163 - mae: 11.3719 - val_loss: 215.4461 - val_mae: 10.9657 - 336ms/epoch - 34ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 223.1058 - mae: 11.1412 - val_loss: 229.1855 - val_mae: 10.9876 - 298ms/epoch - 30ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 214.8259 - mae: 10.7829 - val_loss: 218.8044 - val_mae: 11.0601 - 303ms/epoch - 30ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 211.4387 - mae: 10.7554 - val_loss: 211.5184 - val_mae: 10.4642 - 327ms/epoch - 33ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 202.0185 - mae: 10.3031 - val_loss: 209.8231 - val_mae: 10.2002 - 378ms/epoch - 38ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 195.6891 - mae: 9.9441 - val_loss: 212.2030 - val_mae: 10.1984 - 309ms/epoch - 31ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 193.2386 - mae: 9.6546 - val_loss: 199.8837 - val_mae: 9.6629 - 399ms/epoch - 40ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 200.0599 - mae: 10.1233 - val_loss: 198.7309 - val_mae: 9.5660 - 429ms/epoch - 43ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 206.8167 - mae: 10.4483 - val_loss: 189.7029 - val_mae: 9.5579 - 416ms/epoch - 42ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 181.9470 - mae: 9.5393 - val_loss: 239.1041 - val_mae: 11.3272 - 306ms/epoch - 31ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 193.0331 - mae: 9.8262 - val_loss: 201.4871 - val_mae: 9.5315 - 342ms/epoch - 34ms/step\n","Epoch 31/125\n","10/10 - 1s - loss: 186.8428 - mae: 9.5807 - val_loss: 200.2238 - val_mae: 10.0959 - 592ms/epoch - 59ms/step\n","Epoch 32/125\n","10/10 - 1s - loss: 193.0713 - mae: 9.9407 - val_loss: 202.7574 - val_mae: 10.3212 - 544ms/epoch - 54ms/step\n","Epoch 33/125\n","10/10 - 1s - loss: 192.6420 - mae: 9.8620 - val_loss: 209.3509 - val_mae: 10.7062 - 562ms/epoch - 56ms/step\n","Epoch 34/125\n","10/10 - 1s - loss: 179.6815 - mae: 9.6702 - val_loss: 204.5659 - val_mae: 10.4337 - 581ms/epoch - 58ms/step\n","Epoch 35/125\n","10/10 - 1s - loss: 201.6039 - mae: 10.1587 - val_loss: 257.2436 - val_mae: 12.7045 - 561ms/epoch - 56ms/step\n","Epoch 36/125\n","10/10 - 1s - loss: 209.7186 - mae: 10.5297 - val_loss: 205.3434 - val_mae: 10.4140 - 547ms/epoch - 55ms/step\n","Epoch 37/125\n","10/10 - 1s - loss: 181.9109 - mae: 9.4942 - val_loss: 192.3790 - val_mae: 9.1734 - 532ms/epoch - 53ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 170.7502 - mae: 8.8686 - val_loss: 202.5214 - val_mae: 9.3634 - 442ms/epoch - 44ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 178.5342 - mae: 9.1381 - val_loss: 205.0334 - val_mae: 9.3866 - 354ms/epoch - 35ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 170.0600 - mae: 8.9341 - val_loss: 221.0341 - val_mae: 10.3562 - 321ms/epoch - 32ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 174.2374 - mae: 9.0941 - val_loss: 215.3555 - val_mae: 10.0670 - 367ms/epoch - 37ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 171.3610 - mae: 8.7813 - val_loss: 205.9621 - val_mae: 9.3015 - 316ms/epoch - 32ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 169.4050 - mae: 8.6622 - val_loss: 199.0802 - val_mae: 8.9129 - 311ms/epoch - 31ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 164.4571 - mae: 8.6707 - val_loss: 194.2215 - val_mae: 8.6875 - 318ms/epoch - 32ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 179.1939 - mae: 9.6096 - val_loss: 194.4108 - val_mae: 8.6445 - 323ms/epoch - 32ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 182.4055 - mae: 9.5094 - val_loss: 196.4674 - val_mae: 9.6020 - 309ms/epoch - 31ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 167.8229 - mae: 8.6815 - val_loss: 187.7640 - val_mae: 9.1229 - 375ms/epoch - 38ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 169.5325 - mae: 8.7677 - val_loss: 204.9657 - val_mae: 9.3952 - 322ms/epoch - 32ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 169.6850 - mae: 9.2049 - val_loss: 199.2962 - val_mae: 9.0425 - 307ms/epoch - 31ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 157.9068 - mae: 8.1238 - val_loss: 192.8941 - val_mae: 8.6882 - 319ms/epoch - 32ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 154.6965 - mae: 8.0994 - val_loss: 201.8780 - val_mae: 9.1685 - 316ms/epoch - 32ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 161.5679 - mae: 8.7413 - val_loss: 207.4855 - val_mae: 9.7349 - 314ms/epoch - 31ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 152.6027 - mae: 8.2366 - val_loss: 209.7227 - val_mae: 8.9414 - 313ms/epoch - 31ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 151.7840 - mae: 8.0935 - val_loss: 202.7522 - val_mae: 8.9603 - 315ms/epoch - 31ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 156.6344 - mae: 8.3396 - val_loss: 197.1385 - val_mae: 8.7564 - 322ms/epoch - 32ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 167.3439 - mae: 8.8561 - val_loss: 196.7763 - val_mae: 8.9924 - 317ms/epoch - 32ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 173.1686 - mae: 9.0684 - val_loss: 204.0792 - val_mae: 9.2858 - 315ms/epoch - 31ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 156.1006 - mae: 8.0435 - val_loss: 193.0729 - val_mae: 8.4515 - 326ms/epoch - 33ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 146.7568 - mae: 7.6840 - val_loss: 195.8806 - val_mae: 8.8568 - 308ms/epoch - 31ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 154.9368 - mae: 8.2767 - val_loss: 202.9045 - val_mae: 8.7787 - 322ms/epoch - 32ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 147.6876 - mae: 7.9886 - val_loss: 188.0546 - val_mae: 8.2461 - 330ms/epoch - 33ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 145.9615 - mae: 7.7400 - val_loss: 205.3479 - val_mae: 9.4543 - 323ms/epoch - 32ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 157.9903 - mae: 8.1984 - val_loss: 196.9520 - val_mae: 9.1073 - 324ms/epoch - 32ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 159.9064 - mae: 8.1230 - val_loss: 178.5433 - val_mae: 8.1912 - 387ms/epoch - 39ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 153.5761 - mae: 8.3172 - val_loss: 194.6174 - val_mae: 8.3724 - 313ms/epoch - 31ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 150.2721 - mae: 7.8079 - val_loss: 195.9377 - val_mae: 9.6003 - 320ms/epoch - 32ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 151.8948 - mae: 8.0622 - val_loss: 194.1515 - val_mae: 8.8300 - 323ms/epoch - 32ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 147.7016 - mae: 7.9482 - val_loss: 192.2763 - val_mae: 8.2527 - 343ms/epoch - 34ms/step\n","Epoch 69/125\n","10/10 - 1s - loss: 141.5206 - mae: 7.6988 - val_loss: 188.6527 - val_mae: 8.5687 - 533ms/epoch - 53ms/step\n","Epoch 70/125\n","10/10 - 1s - loss: 156.5510 - mae: 8.3535 - val_loss: 182.8142 - val_mae: 8.3263 - 568ms/epoch - 57ms/step\n","Epoch 71/125\n","10/10 - 1s - loss: 156.4211 - mae: 8.3879 - val_loss: 196.7278 - val_mae: 9.2402 - 564ms/epoch - 56ms/step\n","Epoch 72/125\n","10/10 - 1s - loss: 145.8898 - mae: 7.7908 - val_loss: 190.6978 - val_mae: 8.5640 - 540ms/epoch - 54ms/step\n","Epoch 73/125\n","10/10 - 1s - loss: 145.1460 - mae: 7.7657 - val_loss: 188.6604 - val_mae: 8.1985 - 584ms/epoch - 58ms/step\n","Epoch 74/125\n","10/10 - 1s - loss: 138.8174 - mae: 7.4227 - val_loss: 184.5424 - val_mae: 8.6220 - 550ms/epoch - 55ms/step\n","Epoch 75/125\n","10/10 - 1s - loss: 139.0077 - mae: 7.7589 - val_loss: 182.7380 - val_mae: 8.2341 - 556ms/epoch - 56ms/step\n","Epoch 76/125\n","10/10 - 1s - loss: 137.6348 - mae: 7.5863 - val_loss: 181.0649 - val_mae: 8.0594 - 504ms/epoch - 50ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 136.6201 - mae: 7.6308 - val_loss: 182.8670 - val_mae: 8.0701 - 310ms/epoch - 31ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 136.3185 - mae: 7.5290 - val_loss: 181.9051 - val_mae: 8.3935 - 327ms/epoch - 33ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 134.8473 - mae: 7.3603 - val_loss: 174.5152 - val_mae: 7.9986 - 390ms/epoch - 39ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 137.4823 - mae: 7.3734 - val_loss: 184.4763 - val_mae: 8.2566 - 331ms/epoch - 33ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 138.7332 - mae: 7.6989 - val_loss: 173.0424 - val_mae: 8.0256 - 380ms/epoch - 38ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 138.5096 - mae: 7.8074 - val_loss: 169.7299 - val_mae: 7.8918 - 394ms/epoch - 39ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 140.0114 - mae: 7.4478 - val_loss: 180.3260 - val_mae: 8.2939 - 319ms/epoch - 32ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 142.2469 - mae: 7.8215 - val_loss: 185.4762 - val_mae: 8.1458 - 326ms/epoch - 33ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 136.6340 - mae: 7.3309 - val_loss: 170.1852 - val_mae: 8.0687 - 323ms/epoch - 32ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 136.0932 - mae: 7.4504 - val_loss: 165.1547 - val_mae: 7.7570 - 392ms/epoch - 39ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 132.5856 - mae: 7.4091 - val_loss: 171.5690 - val_mae: 8.0835 - 325ms/epoch - 33ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 137.7826 - mae: 7.5003 - val_loss: 167.5278 - val_mae: 7.9751 - 318ms/epoch - 32ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 134.8530 - mae: 7.6114 - val_loss: 173.7251 - val_mae: 8.0335 - 321ms/epoch - 32ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 126.0051 - mae: 7.0999 - val_loss: 164.8384 - val_mae: 8.0075 - 413ms/epoch - 41ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 129.9094 - mae: 7.2909 - val_loss: 181.6785 - val_mae: 8.5006 - 315ms/epoch - 31ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 131.3507 - mae: 7.4015 - val_loss: 159.7147 - val_mae: 8.0123 - 388ms/epoch - 39ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 143.8459 - mae: 8.1926 - val_loss: 205.6155 - val_mae: 10.9108 - 322ms/epoch - 32ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 134.3493 - mae: 7.5137 - val_loss: 167.4301 - val_mae: 7.8960 - 309ms/epoch - 31ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 130.8318 - mae: 7.4116 - val_loss: 162.9576 - val_mae: 7.9269 - 332ms/epoch - 33ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 127.2870 - mae: 7.1094 - val_loss: 161.3676 - val_mae: 7.8818 - 329ms/epoch - 33ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 126.8467 - mae: 7.3595 - val_loss: 186.6451 - val_mae: 9.8361 - 319ms/epoch - 32ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 131.5029 - mae: 7.6443 - val_loss: 173.6033 - val_mae: 9.0511 - 314ms/epoch - 31ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 127.5897 - mae: 7.3909 - val_loss: 169.5786 - val_mae: 8.8286 - 316ms/epoch - 32ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 128.4191 - mae: 7.6055 - val_loss: 188.9184 - val_mae: 10.1654 - 321ms/epoch - 32ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 132.1683 - mae: 7.7508 - val_loss: 177.1820 - val_mae: 9.5308 - 301ms/epoch - 30ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 144.9999 - mae: 8.1692 - val_loss: 191.7254 - val_mae: 10.0110 - 337ms/epoch - 34ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 137.1594 - mae: 7.9512 - val_loss: 178.6838 - val_mae: 9.6621 - 320ms/epoch - 32ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 132.0381 - mae: 8.1179 - val_loss: 171.7352 - val_mae: 9.3845 - 311ms/epoch - 31ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 146.2682 - mae: 8.3786 - val_loss: 172.5240 - val_mae: 9.2286 - 346ms/epoch - 35ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 124.9026 - mae: 7.6478 - val_loss: 190.3747 - val_mae: 10.4631 - 416ms/epoch - 42ms/step\n","Epoch 107/125\n","10/10 - 1s - loss: 125.4060 - mae: 7.6589 - val_loss: 151.5812 - val_mae: 7.5729 - 662ms/epoch - 66ms/step\n","Epoch 108/125\n","10/10 - 1s - loss: 118.5751 - mae: 6.8637 - val_loss: 158.5415 - val_mae: 7.7826 - 580ms/epoch - 58ms/step\n","Epoch 109/125\n","10/10 - 1s - loss: 117.6513 - mae: 7.0137 - val_loss: 159.8905 - val_mae: 8.4600 - 621ms/epoch - 62ms/step\n","Epoch 110/125\n","10/10 - 1s - loss: 129.4794 - mae: 7.3652 - val_loss: 150.6547 - val_mae: 7.5953 - 770ms/epoch - 77ms/step\n","Epoch 111/125\n","10/10 - 1s - loss: 118.5993 - mae: 6.9602 - val_loss: 161.4306 - val_mae: 7.8380 - 558ms/epoch - 56ms/step\n","Epoch 112/125\n","10/10 - 1s - loss: 115.0396 - mae: 6.9177 - val_loss: 143.1678 - val_mae: 7.4114 - 889ms/epoch - 89ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 113.1696 - mae: 6.7326 - val_loss: 152.1098 - val_mae: 7.8192 - 375ms/epoch - 38ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 108.1200 - mae: 6.5897 - val_loss: 148.2081 - val_mae: 7.5370 - 335ms/epoch - 33ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 110.1410 - mae: 6.6275 - val_loss: 146.9960 - val_mae: 7.7031 - 309ms/epoch - 31ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 131.0789 - mae: 7.8572 - val_loss: 152.3989 - val_mae: 7.7343 - 315ms/epoch - 31ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 121.6106 - mae: 7.5375 - val_loss: 161.0471 - val_mae: 7.9927 - 340ms/epoch - 34ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 116.0517 - mae: 6.9606 - val_loss: 161.9776 - val_mae: 7.8224 - 324ms/epoch - 32ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 117.4279 - mae: 6.9320 - val_loss: 145.6678 - val_mae: 7.5127 - 304ms/epoch - 30ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 109.7475 - mae: 6.6868 - val_loss: 162.3382 - val_mae: 9.0645 - 328ms/epoch - 33ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 110.9490 - mae: 6.8813 - val_loss: 152.3983 - val_mae: 7.8846 - 312ms/epoch - 31ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 103.2636 - mae: 6.3817 - val_loss: 146.4161 - val_mae: 7.4303 - 317ms/epoch - 32ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 102.5913 - mae: 6.4651 - val_loss: 141.0241 - val_mae: 7.4705 - 398ms/epoch - 40ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 112.2082 - mae: 6.6015 - val_loss: 138.0467 - val_mae: 7.3165 - 437ms/epoch - 44ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 107.4671 - mae: 6.6742 - val_loss: 156.4419 - val_mae: 7.6513 - 318ms/epoch - 32ms/step\n","\n","\n","Training FCN_Residual ============= with mean_absolute_error\n","\n","Epoch 1/125\n","10/10 - 4s - loss: 63.6091 - mae: 63.6091 - val_loss: 12.5753 - val_mae: 12.5753 - 4s/epoch - 389ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 16.5189 - mae: 16.5189 - val_loss: 13.1755 - val_mae: 13.1755 - 327ms/epoch - 33ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 13.7113 - mae: 13.7113 - val_loss: 14.0660 - val_mae: 14.0660 - 347ms/epoch - 35ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 12.5816 - mae: 12.5816 - val_loss: 11.7444 - val_mae: 11.7444 - 389ms/epoch - 39ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 11.7070 - mae: 11.7070 - val_loss: 11.4681 - val_mae: 11.4681 - 375ms/epoch - 38ms/step\n","Epoch 6/125\n","10/10 - 1s - loss: 11.4201 - mae: 11.4201 - val_loss: 11.3616 - val_mae: 11.3616 - 669ms/epoch - 67ms/step\n","Epoch 7/125\n","10/10 - 1s - loss: 11.1758 - mae: 11.1758 - val_loss: 11.0814 - val_mae: 11.0814 - 669ms/epoch - 67ms/step\n","Epoch 8/125\n","10/10 - 1s - loss: 10.6687 - mae: 10.6687 - val_loss: 11.0645 - val_mae: 11.0645 - 705ms/epoch - 70ms/step\n","Epoch 9/125\n","10/10 - 1s - loss: 10.5616 - mae: 10.5616 - val_loss: 11.0576 - val_mae: 11.0576 - 696ms/epoch - 70ms/step\n","Epoch 10/125\n","10/10 - 1s - loss: 10.2370 - mae: 10.2370 - val_loss: 10.8003 - val_mae: 10.8003 - 666ms/epoch - 67ms/step\n","Epoch 11/125\n","10/10 - 1s - loss: 10.5516 - mae: 10.5516 - val_loss: 12.2930 - val_mae: 12.2930 - 570ms/epoch - 57ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 10.4365 - mae: 10.4365 - val_loss: 10.3539 - val_mae: 10.3539 - 491ms/epoch - 49ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 9.6921 - mae: 9.6921 - val_loss: 11.0035 - val_mae: 11.0035 - 321ms/epoch - 32ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 9.7045 - mae: 9.7045 - val_loss: 10.7004 - val_mae: 10.7004 - 301ms/epoch - 30ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 9.1935 - mae: 9.1935 - val_loss: 9.7615 - val_mae: 9.7615 - 378ms/epoch - 38ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 9.3186 - mae: 9.3186 - val_loss: 9.5183 - val_mae: 9.5183 - 396ms/epoch - 40ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 8.9184 - mae: 8.9184 - val_loss: 9.8117 - val_mae: 9.8117 - 313ms/epoch - 31ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 9.5179 - mae: 9.5179 - val_loss: 11.0901 - val_mae: 11.0901 - 324ms/epoch - 32ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 10.2573 - mae: 10.2573 - val_loss: 10.9661 - val_mae: 10.9661 - 318ms/epoch - 32ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 9.0546 - mae: 9.0546 - val_loss: 10.4980 - val_mae: 10.4980 - 309ms/epoch - 31ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 9.3041 - mae: 9.3041 - val_loss: 9.6916 - val_mae: 9.6916 - 320ms/epoch - 32ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 8.9677 - mae: 8.9677 - val_loss: 10.7616 - val_mae: 10.7616 - 312ms/epoch - 31ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 9.6145 - mae: 9.6145 - val_loss: 9.2277 - val_mae: 9.2277 - 400ms/epoch - 40ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 9.2732 - mae: 9.2732 - val_loss: 9.1653 - val_mae: 9.1653 - 377ms/epoch - 38ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 9.4802 - mae: 9.4802 - val_loss: 11.5882 - val_mae: 11.5882 - 363ms/epoch - 36ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 9.2435 - mae: 9.2435 - val_loss: 11.8367 - val_mae: 11.8367 - 317ms/epoch - 32ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 9.3516 - mae: 9.3516 - val_loss: 9.8201 - val_mae: 9.8201 - 322ms/epoch - 32ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 8.6586 - mae: 8.6586 - val_loss: 9.1506 - val_mae: 9.1506 - 397ms/epoch - 40ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 8.2423 - mae: 8.2423 - val_loss: 9.0072 - val_mae: 9.0072 - 396ms/epoch - 40ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 8.3794 - mae: 8.3794 - val_loss: 10.0917 - val_mae: 10.0917 - 321ms/epoch - 32ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 8.3422 - mae: 8.3422 - val_loss: 9.0058 - val_mae: 9.0058 - 396ms/epoch - 40ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 8.1206 - mae: 8.1206 - val_loss: 8.9252 - val_mae: 8.9252 - 386ms/epoch - 39ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 7.9229 - mae: 7.9229 - val_loss: 9.0593 - val_mae: 9.0593 - 312ms/epoch - 31ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 8.1224 - mae: 8.1224 - val_loss: 9.7818 - val_mae: 9.7818 - 324ms/epoch - 32ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 7.9597 - mae: 7.9597 - val_loss: 8.7723 - val_mae: 8.7723 - 386ms/epoch - 39ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 7.8251 - mae: 7.8251 - val_loss: 8.7852 - val_mae: 8.7852 - 316ms/epoch - 32ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 7.8440 - mae: 7.8440 - val_loss: 8.6320 - val_mae: 8.6320 - 447ms/epoch - 45ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 7.6947 - mae: 7.6947 - val_loss: 8.6300 - val_mae: 8.6300 - 410ms/epoch - 41ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 7.6781 - mae: 7.6781 - val_loss: 9.1793 - val_mae: 9.1793 - 331ms/epoch - 33ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 8.0676 - mae: 8.0676 - val_loss: 8.8886 - val_mae: 8.8886 - 356ms/epoch - 36ms/step\n","Epoch 41/125\n","10/10 - 1s - loss: 7.7858 - mae: 7.7858 - val_loss: 8.7260 - val_mae: 8.7260 - 552ms/epoch - 55ms/step\n","Epoch 42/125\n","10/10 - 1s - loss: 7.7607 - mae: 7.7607 - val_loss: 8.8203 - val_mae: 8.8203 - 592ms/epoch - 59ms/step\n","Epoch 43/125\n","10/10 - 1s - loss: 7.5094 - mae: 7.5094 - val_loss: 9.0653 - val_mae: 9.0653 - 588ms/epoch - 59ms/step\n","Epoch 44/125\n","10/10 - 1s - loss: 7.5163 - mae: 7.5163 - val_loss: 8.9057 - val_mae: 8.9057 - 584ms/epoch - 58ms/step\n","Epoch 45/125\n","10/10 - 1s - loss: 8.0646 - mae: 8.0646 - val_loss: 8.5567 - val_mae: 8.5567 - 651ms/epoch - 65ms/step\n","Epoch 46/125\n","10/10 - 1s - loss: 8.1019 - mae: 8.1019 - val_loss: 10.0334 - val_mae: 10.0334 - 583ms/epoch - 58ms/step\n","Epoch 47/125\n","10/10 - 1s - loss: 8.1706 - mae: 8.1706 - val_loss: 9.3941 - val_mae: 9.3941 - 551ms/epoch - 55ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 7.5514 - mae: 7.5514 - val_loss: 8.5177 - val_mae: 8.5177 - 463ms/epoch - 46ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 7.6033 - mae: 7.6033 - val_loss: 8.8457 - val_mae: 8.8457 - 333ms/epoch - 33ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 7.4208 - mae: 7.4208 - val_loss: 8.5878 - val_mae: 8.5878 - 321ms/epoch - 32ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 7.3826 - mae: 7.3826 - val_loss: 8.4740 - val_mae: 8.4740 - 398ms/epoch - 40ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 7.2500 - mae: 7.2500 - val_loss: 8.4035 - val_mae: 8.4035 - 410ms/epoch - 41ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 7.2906 - mae: 7.2906 - val_loss: 8.6828 - val_mae: 8.6828 - 311ms/epoch - 31ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 7.1204 - mae: 7.1204 - val_loss: 8.4109 - val_mae: 8.4109 - 309ms/epoch - 31ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 7.1285 - mae: 7.1285 - val_loss: 9.1086 - val_mae: 9.1086 - 312ms/epoch - 31ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 7.7801 - mae: 7.7801 - val_loss: 8.5600 - val_mae: 8.5600 - 302ms/epoch - 30ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 7.4474 - mae: 7.4474 - val_loss: 9.0050 - val_mae: 9.0050 - 329ms/epoch - 33ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 7.1150 - mae: 7.1150 - val_loss: 8.6239 - val_mae: 8.6239 - 312ms/epoch - 31ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 7.3001 - mae: 7.3001 - val_loss: 8.0748 - val_mae: 8.0748 - 386ms/epoch - 39ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 7.4189 - mae: 7.4189 - val_loss: 8.4004 - val_mae: 8.4004 - 314ms/epoch - 31ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 7.5656 - mae: 7.5656 - val_loss: 8.4619 - val_mae: 8.4619 - 321ms/epoch - 32ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 7.2140 - mae: 7.2140 - val_loss: 8.6795 - val_mae: 8.6795 - 338ms/epoch - 34ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 7.3726 - mae: 7.3726 - val_loss: 8.6703 - val_mae: 8.6703 - 320ms/epoch - 32ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 7.7059 - mae: 7.7059 - val_loss: 8.2635 - val_mae: 8.2635 - 324ms/epoch - 32ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 7.3479 - mae: 7.3479 - val_loss: 8.6496 - val_mae: 8.6496 - 329ms/epoch - 33ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 7.1803 - mae: 7.1803 - val_loss: 8.3403 - val_mae: 8.3403 - 307ms/epoch - 31ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 6.8117 - mae: 6.8117 - val_loss: 8.1238 - val_mae: 8.1238 - 313ms/epoch - 31ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 6.9073 - mae: 6.9073 - val_loss: 8.5352 - val_mae: 8.5352 - 331ms/epoch - 33ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 7.3457 - mae: 7.3457 - val_loss: 8.8958 - val_mae: 8.8958 - 319ms/epoch - 32ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 7.3987 - mae: 7.3987 - val_loss: 8.4255 - val_mae: 8.4255 - 297ms/epoch - 30ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 7.4447 - mae: 7.4447 - val_loss: 8.1099 - val_mae: 8.1099 - 373ms/epoch - 37ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 6.9187 - mae: 6.9187 - val_loss: 8.2026 - val_mae: 8.2026 - 328ms/epoch - 33ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 6.6381 - mae: 6.6381 - val_loss: 8.2143 - val_mae: 8.2143 - 310ms/epoch - 31ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 6.7748 - mae: 6.7748 - val_loss: 8.1478 - val_mae: 8.1478 - 327ms/epoch - 33ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 6.7116 - mae: 6.7116 - val_loss: 9.0916 - val_mae: 9.0916 - 307ms/epoch - 31ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 6.7269 - mae: 6.7269 - val_loss: 7.7765 - val_mae: 7.7765 - 381ms/epoch - 38ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 6.6480 - mae: 6.6480 - val_loss: 8.5061 - val_mae: 8.5061 - 358ms/epoch - 36ms/step\n","Epoch 78/125\n","10/10 - 1s - loss: 6.9527 - mae: 6.9527 - val_loss: 7.9837 - val_mae: 7.9837 - 534ms/epoch - 53ms/step\n","Epoch 79/125\n","10/10 - 1s - loss: 6.8393 - mae: 6.8393 - val_loss: 7.9528 - val_mae: 7.9528 - 552ms/epoch - 55ms/step\n","Epoch 80/125\n","10/10 - 1s - loss: 6.8015 - mae: 6.8015 - val_loss: 7.8506 - val_mae: 7.8506 - 528ms/epoch - 53ms/step\n","Epoch 81/125\n","10/10 - 1s - loss: 6.6250 - mae: 6.6250 - val_loss: 8.9907 - val_mae: 8.9907 - 562ms/epoch - 56ms/step\n","Epoch 82/125\n","10/10 - 1s - loss: 7.0596 - mae: 7.0596 - val_loss: 8.2388 - val_mae: 8.2388 - 548ms/epoch - 55ms/step\n","Epoch 83/125\n","10/10 - 1s - loss: 6.6338 - mae: 6.6338 - val_loss: 8.4039 - val_mae: 8.4039 - 532ms/epoch - 53ms/step\n","Epoch 84/125\n","10/10 - 1s - loss: 6.4061 - mae: 6.4061 - val_loss: 7.9630 - val_mae: 7.9630 - 565ms/epoch - 57ms/step\n","Epoch 85/125\n","10/10 - 1s - loss: 6.2842 - mae: 6.2842 - val_loss: 8.1445 - val_mae: 8.1445 - 520ms/epoch - 52ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 6.2792 - mae: 6.2792 - val_loss: 7.6666 - val_mae: 7.6666 - 402ms/epoch - 40ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 6.2244 - mae: 6.2244 - val_loss: 7.6997 - val_mae: 7.6997 - 353ms/epoch - 35ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 6.3883 - mae: 6.3883 - val_loss: 7.7022 - val_mae: 7.7022 - 313ms/epoch - 31ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 6.2636 - mae: 6.2636 - val_loss: 7.7311 - val_mae: 7.7311 - 307ms/epoch - 31ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 6.4962 - mae: 6.4962 - val_loss: 8.0100 - val_mae: 8.0100 - 312ms/epoch - 31ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 6.2020 - mae: 6.2020 - val_loss: 7.7826 - val_mae: 7.7826 - 323ms/epoch - 32ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 6.0883 - mae: 6.0883 - val_loss: 7.6473 - val_mae: 7.6473 - 387ms/epoch - 39ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 5.9803 - mae: 5.9803 - val_loss: 7.6751 - val_mae: 7.6751 - 296ms/epoch - 30ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 6.2216 - mae: 6.2216 - val_loss: 9.6457 - val_mae: 9.6457 - 334ms/epoch - 33ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 6.9720 - mae: 6.9720 - val_loss: 7.6276 - val_mae: 7.6276 - 394ms/epoch - 39ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 6.2174 - mae: 6.2174 - val_loss: 7.9535 - val_mae: 7.9535 - 323ms/epoch - 32ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 6.2381 - mae: 6.2381 - val_loss: 7.8389 - val_mae: 7.8389 - 314ms/epoch - 31ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 6.5545 - mae: 6.5545 - val_loss: 7.8226 - val_mae: 7.8226 - 309ms/epoch - 31ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 6.2185 - mae: 6.2185 - val_loss: 8.3940 - val_mae: 8.3940 - 311ms/epoch - 31ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 6.1370 - mae: 6.1370 - val_loss: 7.4110 - val_mae: 7.4110 - 391ms/epoch - 39ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 6.1942 - mae: 6.1942 - val_loss: 7.5912 - val_mae: 7.5912 - 321ms/epoch - 32ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 6.1146 - mae: 6.1146 - val_loss: 7.9812 - val_mae: 7.9812 - 314ms/epoch - 31ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 6.1250 - mae: 6.1250 - val_loss: 7.9127 - val_mae: 7.9127 - 332ms/epoch - 33ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 6.3397 - mae: 6.3397 - val_loss: 7.8373 - val_mae: 7.8373 - 308ms/epoch - 31ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 6.3238 - mae: 6.3238 - val_loss: 7.9448 - val_mae: 7.9448 - 348ms/epoch - 35ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 6.3208 - mae: 6.3208 - val_loss: 7.4900 - val_mae: 7.4900 - 380ms/epoch - 38ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 5.8464 - mae: 5.8464 - val_loss: 7.9630 - val_mae: 7.9630 - 311ms/epoch - 31ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 6.4817 - mae: 6.4817 - val_loss: 7.6243 - val_mae: 7.6243 - 319ms/epoch - 32ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 6.0885 - mae: 6.0885 - val_loss: 7.4812 - val_mae: 7.4812 - 333ms/epoch - 33ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 6.2649 - mae: 6.2649 - val_loss: 8.6142 - val_mae: 8.6142 - 315ms/epoch - 31ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 7.0578 - mae: 7.0578 - val_loss: 9.4029 - val_mae: 9.4029 - 320ms/epoch - 32ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 7.3626 - mae: 7.3626 - val_loss: 7.8662 - val_mae: 7.8662 - 347ms/epoch - 35ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 7.1783 - mae: 7.1783 - val_loss: 9.0273 - val_mae: 9.0273 - 319ms/epoch - 32ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 7.3594 - mae: 7.3594 - val_loss: 8.1803 - val_mae: 8.1803 - 309ms/epoch - 31ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 6.6191 - mae: 6.6191 - val_loss: 7.4756 - val_mae: 7.4756 - 389ms/epoch - 39ms/step\n","Epoch 116/125\n","10/10 - 1s - loss: 6.2758 - mae: 6.2758 - val_loss: 9.0268 - val_mae: 9.0268 - 570ms/epoch - 57ms/step\n","Epoch 117/125\n","10/10 - 1s - loss: 7.2381 - mae: 7.2381 - val_loss: 7.6958 - val_mae: 7.6958 - 556ms/epoch - 56ms/step\n","Epoch 118/125\n","10/10 - 1s - loss: 6.9023 - mae: 6.9023 - val_loss: 7.8146 - val_mae: 7.8146 - 588ms/epoch - 59ms/step\n","Epoch 119/125\n","10/10 - 1s - loss: 6.3654 - mae: 6.3654 - val_loss: 7.6480 - val_mae: 7.6480 - 728ms/epoch - 73ms/step\n","Epoch 120/125\n","10/10 - 1s - loss: 6.1554 - mae: 6.1554 - val_loss: 7.2300 - val_mae: 7.2300 - 681ms/epoch - 68ms/step\n","Epoch 121/125\n","10/10 - 1s - loss: 6.1291 - mae: 6.1291 - val_loss: 7.3355 - val_mae: 7.3355 - 579ms/epoch - 58ms/step\n","Epoch 122/125\n","10/10 - 1s - loss: 5.8457 - mae: 5.8457 - val_loss: 7.4996 - val_mae: 7.4996 - 552ms/epoch - 55ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 5.7700 - mae: 5.7700 - val_loss: 7.5556 - val_mae: 7.5556 - 322ms/epoch - 32ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 6.0982 - mae: 6.0982 - val_loss: 7.4053 - val_mae: 7.4053 - 314ms/epoch - 31ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 5.7371 - mae: 5.7371 - val_loss: 7.7920 - val_mae: 7.7920 - 350ms/epoch - 35ms/step\n","\n","\n","Training FCN_Residual ============= with log_cosh\n","\n","Epoch 1/125\n","10/10 - 5s - loss: 68.8518 - mae: 69.5449 - val_loss: 34.3222 - val_mae: 35.0097 - 5s/epoch - 513ms/step\n","Epoch 2/125\n","10/10 - 1s - loss: 22.4479 - mae: 23.1321 - val_loss: 21.4902 - val_mae: 22.1717 - 692ms/epoch - 69ms/step\n","Epoch 3/125\n","10/10 - 1s - loss: 15.3674 - mae: 16.0454 - val_loss: 11.7722 - val_mae: 12.4485 - 701ms/epoch - 70ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 11.4497 - mae: 12.1233 - val_loss: 11.4094 - val_mae: 12.0694 - 399ms/epoch - 40ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 11.5906 - mae: 12.2531 - val_loss: 11.7366 - val_mae: 12.4146 - 316ms/epoch - 32ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 11.5159 - mae: 12.1869 - val_loss: 13.5088 - val_mae: 14.1924 - 316ms/epoch - 32ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 11.0451 - mae: 11.7153 - val_loss: 10.8578 - val_mae: 11.5243 - 386ms/epoch - 39ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 10.5366 - mae: 11.2051 - val_loss: 11.4055 - val_mae: 12.0815 - 311ms/epoch - 31ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 10.7866 - mae: 11.4549 - val_loss: 10.8699 - val_mae: 11.5307 - 311ms/epoch - 31ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 10.2758 - mae: 10.9415 - val_loss: 10.4202 - val_mae: 11.0728 - 393ms/epoch - 39ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 9.9290 - mae: 10.5877 - val_loss: 10.2091 - val_mae: 10.8682 - 429ms/epoch - 43ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 9.7982 - mae: 10.4614 - val_loss: 9.9681 - val_mae: 10.6378 - 371ms/epoch - 37ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 9.6303 - mae: 10.2933 - val_loss: 10.0105 - val_mae: 10.6650 - 324ms/epoch - 32ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 9.4249 - mae: 10.0850 - val_loss: 9.8200 - val_mae: 10.4944 - 374ms/epoch - 37ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 9.1338 - mae: 9.7877 - val_loss: 10.0623 - val_mae: 10.7226 - 306ms/epoch - 31ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 9.0076 - mae: 9.6657 - val_loss: 9.6366 - val_mae: 10.3147 - 405ms/epoch - 40ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 9.0768 - mae: 9.7384 - val_loss: 9.6788 - val_mae: 10.3309 - 321ms/epoch - 32ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 9.4863 - mae: 10.1435 - val_loss: 10.2824 - val_mae: 10.9637 - 297ms/epoch - 30ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 9.1033 - mae: 9.7542 - val_loss: 9.5109 - val_mae: 10.1637 - 387ms/epoch - 39ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 8.6780 - mae: 9.3248 - val_loss: 9.6569 - val_mae: 10.3232 - 312ms/epoch - 31ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 8.7497 - mae: 9.4085 - val_loss: 9.4949 - val_mae: 10.1707 - 372ms/epoch - 37ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 8.7139 - mae: 9.3767 - val_loss: 9.6194 - val_mae: 10.2737 - 338ms/epoch - 34ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 8.6272 - mae: 9.2614 - val_loss: 9.4240 - val_mae: 10.0848 - 394ms/epoch - 39ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 8.5262 - mae: 9.1717 - val_loss: 10.0680 - val_mae: 10.7320 - 309ms/epoch - 31ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 8.7657 - mae: 9.4206 - val_loss: 9.0632 - val_mae: 9.7227 - 393ms/epoch - 39ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 8.6997 - mae: 9.3542 - val_loss: 9.8428 - val_mae: 10.4825 - 311ms/epoch - 31ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 8.3524 - mae: 9.0038 - val_loss: 8.9807 - val_mae: 9.6307 - 386ms/epoch - 39ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 8.4978 - mae: 9.1399 - val_loss: 8.8407 - val_mae: 9.4917 - 408ms/epoch - 41ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 9.4648 - mae: 10.1327 - val_loss: 9.7598 - val_mae: 10.4303 - 316ms/epoch - 32ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 9.3623 - mae: 10.0332 - val_loss: 8.9332 - val_mae: 9.5958 - 309ms/epoch - 31ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 8.8436 - mae: 9.5012 - val_loss: 9.4628 - val_mae: 10.1295 - 321ms/epoch - 32ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 8.5248 - mae: 9.1787 - val_loss: 9.3352 - val_mae: 9.9998 - 416ms/epoch - 42ms/step\n","Epoch 33/125\n","10/10 - 1s - loss: 8.3052 - mae: 8.9542 - val_loss: 9.5850 - val_mae: 10.2183 - 558ms/epoch - 56ms/step\n","Epoch 34/125\n","10/10 - 1s - loss: 8.7354 - mae: 9.3990 - val_loss: 10.6530 - val_mae: 11.3303 - 552ms/epoch - 55ms/step\n","Epoch 35/125\n","10/10 - 1s - loss: 8.8343 - mae: 9.4948 - val_loss: 8.6261 - val_mae: 9.2511 - 657ms/epoch - 66ms/step\n","Epoch 36/125\n","10/10 - 1s - loss: 8.2961 - mae: 8.9441 - val_loss: 9.2298 - val_mae: 9.9037 - 563ms/epoch - 56ms/step\n","Epoch 37/125\n","10/10 - 1s - loss: 8.7349 - mae: 9.3949 - val_loss: 9.8697 - val_mae: 10.5196 - 552ms/epoch - 55ms/step\n","Epoch 38/125\n","10/10 - 1s - loss: 8.3369 - mae: 8.9874 - val_loss: 9.4246 - val_mae: 10.0750 - 572ms/epoch - 57ms/step\n","Epoch 39/125\n","10/10 - 1s - loss: 8.2671 - mae: 8.9138 - val_loss: 8.5258 - val_mae: 9.1497 - 646ms/epoch - 65ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 8.1272 - mae: 8.7718 - val_loss: 8.9934 - val_mae: 9.6434 - 318ms/epoch - 32ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 7.9324 - mae: 8.5715 - val_loss: 8.3229 - val_mae: 8.9254 - 403ms/epoch - 40ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 7.7550 - mae: 8.3869 - val_loss: 8.5562 - val_mae: 9.2088 - 306ms/epoch - 31ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 7.8081 - mae: 8.4522 - val_loss: 9.2457 - val_mae: 9.9241 - 317ms/epoch - 32ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 8.4182 - mae: 9.0699 - val_loss: 8.6406 - val_mae: 9.2939 - 360ms/epoch - 36ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 7.7378 - mae: 8.3777 - val_loss: 8.3998 - val_mae: 9.0503 - 305ms/epoch - 31ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 8.1945 - mae: 8.8550 - val_loss: 8.1206 - val_mae: 8.7345 - 379ms/epoch - 38ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 7.8015 - mae: 8.4513 - val_loss: 7.9805 - val_mae: 8.5871 - 401ms/epoch - 40ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 7.7383 - mae: 8.3850 - val_loss: 8.6076 - val_mae: 9.2418 - 316ms/epoch - 32ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 8.3050 - mae: 8.9631 - val_loss: 9.8454 - val_mae: 10.5236 - 303ms/epoch - 30ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 8.0211 - mae: 8.6651 - val_loss: 8.1478 - val_mae: 8.8094 - 323ms/epoch - 32ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 7.5017 - mae: 8.1364 - val_loss: 7.8923 - val_mae: 8.5156 - 383ms/epoch - 38ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 7.2642 - mae: 7.8898 - val_loss: 8.1548 - val_mae: 8.7610 - 354ms/epoch - 35ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 7.4622 - mae: 8.1111 - val_loss: 8.4075 - val_mae: 9.0425 - 314ms/epoch - 31ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 7.1074 - mae: 7.7245 - val_loss: 8.0301 - val_mae: 8.6600 - 311ms/epoch - 31ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 7.1678 - mae: 7.7957 - val_loss: 8.6336 - val_mae: 9.2855 - 310ms/epoch - 31ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 7.0988 - mae: 7.7389 - val_loss: 7.7233 - val_mae: 8.3425 - 394ms/epoch - 39ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 7.2794 - mae: 7.9105 - val_loss: 8.0286 - val_mae: 8.6800 - 324ms/epoch - 32ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 7.0648 - mae: 7.7017 - val_loss: 7.7480 - val_mae: 8.3792 - 318ms/epoch - 32ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 6.9433 - mae: 7.5706 - val_loss: 7.8899 - val_mae: 8.4998 - 348ms/epoch - 35ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 7.0015 - mae: 7.6375 - val_loss: 7.9036 - val_mae: 8.5612 - 329ms/epoch - 33ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 7.0009 - mae: 7.6264 - val_loss: 8.0145 - val_mae: 8.6682 - 331ms/epoch - 33ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 6.6677 - mae: 7.2789 - val_loss: 7.8784 - val_mae: 8.4995 - 332ms/epoch - 33ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 6.8920 - mae: 7.5132 - val_loss: 7.6415 - val_mae: 8.2758 - 439ms/epoch - 44ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 6.8653 - mae: 7.4927 - val_loss: 7.9267 - val_mae: 8.5544 - 321ms/epoch - 32ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 6.6552 - mae: 7.2834 - val_loss: 7.8787 - val_mae: 8.5190 - 333ms/epoch - 33ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 7.0015 - mae: 7.6336 - val_loss: 9.3228 - val_mae: 9.9847 - 322ms/epoch - 32ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 7.1871 - mae: 7.8295 - val_loss: 7.7508 - val_mae: 8.3869 - 342ms/epoch - 34ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 6.9103 - mae: 7.5555 - val_loss: 7.8748 - val_mae: 8.4953 - 329ms/epoch - 33ms/step\n","Epoch 69/125\n","10/10 - 1s - loss: 6.5050 - mae: 7.1308 - val_loss: 7.6358 - val_mae: 8.2784 - 659ms/epoch - 66ms/step\n","Epoch 70/125\n","10/10 - 1s - loss: 6.6976 - mae: 7.3408 - val_loss: 8.6504 - val_mae: 9.2975 - 572ms/epoch - 57ms/step\n","Epoch 71/125\n","10/10 - 1s - loss: 6.9671 - mae: 7.6095 - val_loss: 7.5770 - val_mae: 8.1948 - 633ms/epoch - 63ms/step\n","Epoch 72/125\n","10/10 - 1s - loss: 6.6597 - mae: 7.2859 - val_loss: 7.7637 - val_mae: 8.4008 - 538ms/epoch - 54ms/step\n","Epoch 73/125\n","10/10 - 1s - loss: 6.6976 - mae: 7.3172 - val_loss: 7.6695 - val_mae: 8.3280 - 528ms/epoch - 53ms/step\n","Epoch 74/125\n","10/10 - 1s - loss: 6.3025 - mae: 6.9278 - val_loss: 7.4589 - val_mae: 8.0839 - 629ms/epoch - 63ms/step\n","Epoch 75/125\n","10/10 - 1s - loss: 6.6587 - mae: 7.2826 - val_loss: 8.1998 - val_mae: 8.8618 - 605ms/epoch - 60ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 6.2962 - mae: 6.9184 - val_loss: 7.6702 - val_mae: 8.3042 - 404ms/epoch - 40ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 6.8092 - mae: 7.4458 - val_loss: 8.7905 - val_mae: 9.4259 - 312ms/epoch - 31ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 6.8693 - mae: 7.5030 - val_loss: 7.3469 - val_mae: 7.9948 - 407ms/epoch - 41ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 6.8184 - mae: 7.4554 - val_loss: 7.4972 - val_mae: 8.1233 - 309ms/epoch - 31ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 6.5453 - mae: 7.1848 - val_loss: 7.7808 - val_mae: 8.4274 - 301ms/epoch - 30ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 6.5530 - mae: 7.1816 - val_loss: 7.6447 - val_mae: 8.2958 - 329ms/epoch - 33ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 6.2928 - mae: 6.9197 - val_loss: 7.3375 - val_mae: 7.9606 - 393ms/epoch - 39ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 6.1912 - mae: 6.8197 - val_loss: 8.4045 - val_mae: 9.0383 - 306ms/epoch - 31ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 6.5257 - mae: 7.1655 - val_loss: 7.7172 - val_mae: 8.3441 - 333ms/epoch - 33ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 6.3660 - mae: 6.9905 - val_loss: 7.4164 - val_mae: 8.0382 - 324ms/epoch - 32ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 6.4826 - mae: 7.1124 - val_loss: 7.7361 - val_mae: 8.3884 - 317ms/epoch - 32ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 6.3514 - mae: 6.9829 - val_loss: 7.1927 - val_mae: 7.8200 - 441ms/epoch - 44ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 6.1128 - mae: 6.7285 - val_loss: 7.1148 - val_mae: 7.7614 - 382ms/epoch - 38ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 5.9166 - mae: 6.5209 - val_loss: 7.5610 - val_mae: 8.1735 - 324ms/epoch - 32ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 6.3126 - mae: 6.9417 - val_loss: 7.3769 - val_mae: 8.0256 - 318ms/epoch - 32ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 6.4526 - mae: 7.0812 - val_loss: 7.3287 - val_mae: 7.9504 - 316ms/epoch - 32ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 6.0192 - mae: 6.6392 - val_loss: 7.3448 - val_mae: 7.9839 - 307ms/epoch - 31ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 6.1142 - mae: 6.7283 - val_loss: 7.6062 - val_mae: 8.2489 - 320ms/epoch - 32ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 6.2177 - mae: 6.8395 - val_loss: 8.1300 - val_mae: 8.7846 - 315ms/epoch - 31ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 6.4965 - mae: 7.1269 - val_loss: 7.0401 - val_mae: 7.6655 - 394ms/epoch - 39ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 6.4469 - mae: 7.0736 - val_loss: 7.2571 - val_mae: 7.8900 - 350ms/epoch - 35ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 6.0911 - mae: 6.7168 - val_loss: 7.1572 - val_mae: 7.8045 - 310ms/epoch - 31ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 5.9178 - mae: 6.5351 - val_loss: 7.2197 - val_mae: 7.8322 - 310ms/epoch - 31ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 5.8109 - mae: 6.4192 - val_loss: 7.4201 - val_mae: 8.0518 - 325ms/epoch - 32ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 6.0186 - mae: 6.6381 - val_loss: 7.1228 - val_mae: 7.7583 - 307ms/epoch - 31ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 5.7996 - mae: 6.4186 - val_loss: 7.3556 - val_mae: 7.9624 - 300ms/epoch - 30ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 5.9450 - mae: 6.5714 - val_loss: 7.1109 - val_mae: 7.7300 - 329ms/epoch - 33ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 5.7411 - mae: 6.3629 - val_loss: 7.1742 - val_mae: 7.8012 - 312ms/epoch - 31ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 5.7032 - mae: 6.3106 - val_loss: 6.8917 - val_mae: 7.5438 - 367ms/epoch - 37ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 5.6464 - mae: 6.2576 - val_loss: 6.8922 - val_mae: 7.5089 - 311ms/epoch - 31ms/step\n","Epoch 106/125\n","10/10 - 1s - loss: 5.6870 - mae: 6.3024 - val_loss: 6.6702 - val_mae: 7.2786 - 566ms/epoch - 57ms/step\n","Epoch 107/125\n","10/10 - 1s - loss: 5.6530 - mae: 6.2604 - val_loss: 6.9788 - val_mae: 7.6058 - 573ms/epoch - 57ms/step\n","Epoch 108/125\n","10/10 - 1s - loss: 5.5336 - mae: 6.1496 - val_loss: 6.8070 - val_mae: 7.4128 - 557ms/epoch - 56ms/step\n","Epoch 109/125\n","10/10 - 1s - loss: 5.4845 - mae: 6.1004 - val_loss: 6.9640 - val_mae: 7.5726 - 538ms/epoch - 54ms/step\n","Epoch 110/125\n","10/10 - 1s - loss: 5.5050 - mae: 6.1022 - val_loss: 6.6696 - val_mae: 7.2791 - 701ms/epoch - 70ms/step\n","Epoch 111/125\n","10/10 - 1s - loss: 5.6270 - mae: 6.2457 - val_loss: 7.0111 - val_mae: 7.6487 - 561ms/epoch - 56ms/step\n","Epoch 112/125\n","10/10 - 1s - loss: 5.5581 - mae: 6.1786 - val_loss: 6.9752 - val_mae: 7.6066 - 561ms/epoch - 56ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 5.4247 - mae: 6.0369 - val_loss: 7.2373 - val_mae: 7.8626 - 454ms/epoch - 45ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 5.5334 - mae: 6.1396 - val_loss: 7.2157 - val_mae: 7.8679 - 311ms/epoch - 31ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 5.7369 - mae: 6.3546 - val_loss: 7.1022 - val_mae: 7.7062 - 309ms/epoch - 31ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 5.6454 - mae: 6.2627 - val_loss: 6.8939 - val_mae: 7.5407 - 317ms/epoch - 32ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 5.5723 - mae: 6.1876 - val_loss: 7.4342 - val_mae: 8.0647 - 308ms/epoch - 31ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 5.6124 - mae: 6.2313 - val_loss: 7.5185 - val_mae: 8.1740 - 296ms/epoch - 30ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 5.5575 - mae: 6.1608 - val_loss: 6.8920 - val_mae: 7.5066 - 339ms/epoch - 34ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 5.4981 - mae: 6.1138 - val_loss: 6.5900 - val_mae: 7.1970 - 378ms/epoch - 38ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 5.5044 - mae: 6.1302 - val_loss: 7.8288 - val_mae: 8.4857 - 352ms/epoch - 35ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 5.3437 - mae: 5.9581 - val_loss: 6.9438 - val_mae: 7.5769 - 316ms/epoch - 32ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 5.3864 - mae: 6.0095 - val_loss: 6.9304 - val_mae: 7.5826 - 311ms/epoch - 31ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 5.2490 - mae: 5.8637 - val_loss: 6.8375 - val_mae: 7.4433 - 301ms/epoch - 30ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 5.2442 - mae: 5.8534 - val_loss: 6.7821 - val_mae: 7.4132 - 323ms/epoch - 32ms/step\n","\n","\n","Training FCN_DCT ============= with huber_loss\n","\n","Epoch 1/125\n","10/10 - 2s - loss: 78.8455 - mae: 79.3455 - val_loss: 78.1895 - val_mae: 78.6895 - 2s/epoch - 234ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 77.1196 - mae: 77.6196 - val_loss: 75.2194 - val_mae: 75.7194 - 171ms/epoch - 17ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 72.9428 - mae: 73.4428 - val_loss: 68.9713 - val_mae: 69.4713 - 171ms/epoch - 17ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 64.6985 - mae: 65.1985 - val_loss: 56.9226 - val_mae: 57.4226 - 155ms/epoch - 15ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 48.0910 - mae: 48.5898 - val_loss: 31.0511 - val_mae: 31.5511 - 165ms/epoch - 16ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 20.6553 - mae: 21.1524 - val_loss: 20.8443 - val_mae: 21.3402 - 173ms/epoch - 17ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 17.6863 - mae: 18.1842 - val_loss: 14.4258 - val_mae: 14.9215 - 166ms/epoch - 17ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 15.0911 - mae: 15.5862 - val_loss: 14.0402 - val_mae: 14.5349 - 174ms/epoch - 17ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 13.5767 - mae: 14.0682 - val_loss: 13.8471 - val_mae: 14.3471 - 158ms/epoch - 16ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 13.0468 - mae: 13.5380 - val_loss: 13.2314 - val_mae: 13.7195 - 160ms/epoch - 16ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 12.4938 - mae: 12.9815 - val_loss: 12.7761 - val_mae: 13.2695 - 175ms/epoch - 17ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 12.2981 - mae: 12.7892 - val_loss: 12.5029 - val_mae: 12.9993 - 160ms/epoch - 16ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 11.9735 - mae: 12.4628 - val_loss: 12.2475 - val_mae: 12.7404 - 158ms/epoch - 16ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 11.7829 - mae: 12.2740 - val_loss: 12.0460 - val_mae: 12.5382 - 175ms/epoch - 17ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 11.6790 - mae: 12.1636 - val_loss: 11.9079 - val_mae: 12.4037 - 169ms/epoch - 17ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 11.6193 - mae: 12.1124 - val_loss: 11.7850 - val_mae: 12.2702 - 160ms/epoch - 16ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 11.5482 - mae: 12.0367 - val_loss: 11.6730 - val_mae: 12.1567 - 175ms/epoch - 18ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 11.4571 - mae: 11.9451 - val_loss: 11.5727 - val_mae: 12.0541 - 172ms/epoch - 17ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 11.4523 - mae: 11.9427 - val_loss: 11.4973 - val_mae: 11.9693 - 176ms/epoch - 18ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 11.3803 - mae: 11.8712 - val_loss: 11.4881 - val_mae: 11.9880 - 194ms/epoch - 19ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 11.4279 - mae: 11.9179 - val_loss: 11.3502 - val_mae: 11.8276 - 251ms/epoch - 25ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 11.3185 - mae: 11.8110 - val_loss: 11.3049 - val_mae: 11.7822 - 295ms/epoch - 29ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 11.2856 - mae: 11.7748 - val_loss: 11.2760 - val_mae: 11.7685 - 288ms/epoch - 29ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 11.2909 - mae: 11.7808 - val_loss: 11.2258 - val_mae: 11.7103 - 267ms/epoch - 27ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 11.2225 - mae: 11.7127 - val_loss: 11.1961 - val_mae: 11.6857 - 270ms/epoch - 27ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 11.2681 - mae: 11.7577 - val_loss: 11.1631 - val_mae: 11.6536 - 259ms/epoch - 26ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 11.1929 - mae: 11.6778 - val_loss: 11.1317 - val_mae: 11.6237 - 255ms/epoch - 26ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 11.1716 - mae: 11.6601 - val_loss: 11.1066 - val_mae: 11.5990 - 262ms/epoch - 26ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 11.2073 - mae: 11.6968 - val_loss: 11.0839 - val_mae: 11.5773 - 281ms/epoch - 28ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 11.1439 - mae: 11.6334 - val_loss: 11.0550 - val_mae: 11.5515 - 270ms/epoch - 27ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 11.1515 - mae: 11.6416 - val_loss: 11.1021 - val_mae: 11.5881 - 214ms/epoch - 21ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 11.1368 - mae: 11.6236 - val_loss: 11.0446 - val_mae: 11.5328 - 286ms/epoch - 29ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 11.1001 - mae: 11.5878 - val_loss: 11.0226 - val_mae: 11.5109 - 267ms/epoch - 27ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 11.0664 - mae: 11.5538 - val_loss: 10.9980 - val_mae: 11.4947 - 259ms/epoch - 26ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 11.1884 - mae: 11.6818 - val_loss: 11.0003 - val_mae: 11.4924 - 206ms/epoch - 21ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 11.0939 - mae: 11.5810 - val_loss: 10.9919 - val_mae: 11.4745 - 255ms/epoch - 25ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 11.1578 - mae: 11.6498 - val_loss: 10.9908 - val_mae: 11.4761 - 257ms/epoch - 26ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 11.0979 - mae: 11.5842 - val_loss: 11.0453 - val_mae: 11.5375 - 120ms/epoch - 12ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 11.0205 - mae: 11.5104 - val_loss: 10.9628 - val_mae: 11.4591 - 177ms/epoch - 18ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 11.1267 - mae: 11.6209 - val_loss: 11.1190 - val_mae: 11.6036 - 119ms/epoch - 12ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 11.1247 - mae: 11.6175 - val_loss: 10.9533 - val_mae: 11.4422 - 158ms/epoch - 16ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 11.1132 - mae: 11.6038 - val_loss: 10.9767 - val_mae: 11.4682 - 131ms/epoch - 13ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 11.4978 - mae: 11.9815 - val_loss: 11.2232 - val_mae: 11.7132 - 136ms/epoch - 14ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 12.0313 - mae: 12.5235 - val_loss: 10.9647 - val_mae: 11.4543 - 130ms/epoch - 13ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 11.2684 - mae: 11.7547 - val_loss: 10.9696 - val_mae: 11.4606 - 113ms/epoch - 11ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 11.0045 - mae: 11.4923 - val_loss: 10.9598 - val_mae: 11.4514 - 132ms/epoch - 13ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 11.0240 - mae: 11.5136 - val_loss: 10.9498 - val_mae: 11.4357 - 170ms/epoch - 17ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 11.0490 - mae: 11.5425 - val_loss: 10.9833 - val_mae: 11.4744 - 117ms/epoch - 12ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 11.0170 - mae: 11.5076 - val_loss: 10.9523 - val_mae: 11.4435 - 130ms/epoch - 13ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 10.9774 - mae: 11.4658 - val_loss: 10.9906 - val_mae: 11.4805 - 128ms/epoch - 13ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 10.9484 - mae: 11.4388 - val_loss: 10.9499 - val_mae: 11.4419 - 128ms/epoch - 13ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 11.0068 - mae: 11.4975 - val_loss: 10.9562 - val_mae: 11.4432 - 132ms/epoch - 13ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 11.0113 - mae: 11.5016 - val_loss: 10.9574 - val_mae: 11.4411 - 120ms/epoch - 12ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 11.2809 - mae: 11.7645 - val_loss: 11.1520 - val_mae: 11.6404 - 131ms/epoch - 13ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 11.1303 - mae: 11.6197 - val_loss: 10.9661 - val_mae: 11.4564 - 137ms/epoch - 14ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 11.0263 - mae: 11.5128 - val_loss: 11.0659 - val_mae: 11.5593 - 115ms/epoch - 11ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 11.1182 - mae: 11.6120 - val_loss: 10.9804 - val_mae: 11.4679 - 121ms/epoch - 12ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 10.9182 - mae: 11.4053 - val_loss: 11.0642 - val_mae: 11.5566 - 122ms/epoch - 12ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 10.9859 - mae: 11.4747 - val_loss: 10.9890 - val_mae: 11.4826 - 128ms/epoch - 13ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 10.9394 - mae: 11.4298 - val_loss: 11.0417 - val_mae: 11.5316 - 139ms/epoch - 14ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 10.9848 - mae: 11.4804 - val_loss: 10.9786 - val_mae: 11.4682 - 125ms/epoch - 12ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 10.9319 - mae: 11.4223 - val_loss: 10.9877 - val_mae: 11.4784 - 140ms/epoch - 14ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 10.9412 - mae: 11.4349 - val_loss: 10.9860 - val_mae: 11.4769 - 133ms/epoch - 13ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 10.9163 - mae: 11.4019 - val_loss: 11.2012 - val_mae: 11.6930 - 121ms/epoch - 12ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 11.0997 - mae: 11.5909 - val_loss: 11.0210 - val_mae: 11.4973 - 131ms/epoch - 13ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 10.9237 - mae: 11.4095 - val_loss: 11.0020 - val_mae: 11.4914 - 137ms/epoch - 14ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 10.9500 - mae: 11.4439 - val_loss: 11.0610 - val_mae: 11.5498 - 120ms/epoch - 12ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 10.9078 - mae: 11.3946 - val_loss: 10.9896 - val_mae: 11.4811 - 132ms/epoch - 13ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 10.8830 - mae: 11.3713 - val_loss: 10.9911 - val_mae: 11.4818 - 116ms/epoch - 12ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 10.8982 - mae: 11.3828 - val_loss: 11.0352 - val_mae: 11.5207 - 132ms/epoch - 13ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 10.9354 - mae: 11.4270 - val_loss: 11.0137 - val_mae: 11.5009 - 118ms/epoch - 12ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 10.9074 - mae: 11.3915 - val_loss: 10.9966 - val_mae: 11.4880 - 121ms/epoch - 12ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 11.0510 - mae: 11.5412 - val_loss: 11.0049 - val_mae: 11.4967 - 115ms/epoch - 11ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 10.9509 - mae: 11.4387 - val_loss: 11.0086 - val_mae: 11.5003 - 136ms/epoch - 14ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 10.9108 - mae: 11.3970 - val_loss: 11.0085 - val_mae: 11.5012 - 134ms/epoch - 13ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 10.9031 - mae: 11.3952 - val_loss: 11.0809 - val_mae: 11.5702 - 126ms/epoch - 13ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 10.8929 - mae: 11.3857 - val_loss: 11.0774 - val_mae: 11.5581 - 111ms/epoch - 11ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 10.9110 - mae: 11.3920 - val_loss: 11.0119 - val_mae: 11.5049 - 138ms/epoch - 14ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 10.9151 - mae: 11.4067 - val_loss: 11.0068 - val_mae: 11.4985 - 119ms/epoch - 12ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 10.9323 - mae: 11.4218 - val_loss: 11.1206 - val_mae: 11.6154 - 119ms/epoch - 12ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 10.9368 - mae: 11.4270 - val_loss: 11.0087 - val_mae: 11.4959 - 132ms/epoch - 13ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 10.9214 - mae: 11.4119 - val_loss: 11.0030 - val_mae: 11.4943 - 127ms/epoch - 13ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 10.9034 - mae: 11.3877 - val_loss: 11.0109 - val_mae: 11.5022 - 119ms/epoch - 12ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 11.0119 - mae: 11.4996 - val_loss: 11.0303 - val_mae: 11.5111 - 131ms/epoch - 13ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 10.9574 - mae: 11.4435 - val_loss: 11.0997 - val_mae: 11.5851 - 133ms/epoch - 13ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 10.9061 - mae: 11.3951 - val_loss: 11.0188 - val_mae: 11.5087 - 133ms/epoch - 13ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 10.9061 - mae: 11.3953 - val_loss: 11.0328 - val_mae: 11.5114 - 130ms/epoch - 13ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 10.9800 - mae: 11.4689 - val_loss: 11.0508 - val_mae: 11.5250 - 120ms/epoch - 12ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 10.8313 - mae: 11.3155 - val_loss: 11.0303 - val_mae: 11.5119 - 126ms/epoch - 13ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 10.9851 - mae: 11.4743 - val_loss: 11.0868 - val_mae: 11.5734 - 136ms/epoch - 14ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 11.0592 - mae: 11.5508 - val_loss: 11.2198 - val_mae: 11.7144 - 136ms/epoch - 14ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 11.0006 - mae: 11.4894 - val_loss: 11.0486 - val_mae: 11.5311 - 112ms/epoch - 11ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 11.3286 - mae: 11.8170 - val_loss: 11.0691 - val_mae: 11.5499 - 133ms/epoch - 13ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 10.9308 - mae: 11.4193 - val_loss: 11.0408 - val_mae: 11.5285 - 130ms/epoch - 13ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 10.8328 - mae: 11.3275 - val_loss: 11.0681 - val_mae: 11.5528 - 119ms/epoch - 12ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 10.9575 - mae: 11.4440 - val_loss: 11.1126 - val_mae: 11.6007 - 140ms/epoch - 14ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 10.8965 - mae: 11.3893 - val_loss: 11.0274 - val_mae: 11.5131 - 115ms/epoch - 12ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 10.8246 - mae: 11.3077 - val_loss: 11.0429 - val_mae: 11.5263 - 128ms/epoch - 13ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 10.8859 - mae: 11.3764 - val_loss: 11.0091 - val_mae: 11.4994 - 132ms/epoch - 13ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 10.8214 - mae: 11.3075 - val_loss: 11.0335 - val_mae: 11.5192 - 131ms/epoch - 13ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 10.9630 - mae: 11.4514 - val_loss: 11.1207 - val_mae: 11.6048 - 133ms/epoch - 13ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 10.8817 - mae: 11.3724 - val_loss: 11.0826 - val_mae: 11.5701 - 138ms/epoch - 14ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 10.8240 - mae: 11.3081 - val_loss: 11.0366 - val_mae: 11.5189 - 140ms/epoch - 14ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 10.8434 - mae: 11.3308 - val_loss: 11.0277 - val_mae: 11.5112 - 115ms/epoch - 12ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 10.8600 - mae: 11.3480 - val_loss: 11.0100 - val_mae: 11.4999 - 114ms/epoch - 11ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 10.8914 - mae: 11.3798 - val_loss: 11.0332 - val_mae: 11.5209 - 146ms/epoch - 15ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 10.9163 - mae: 11.4015 - val_loss: 11.3143 - val_mae: 11.8085 - 115ms/epoch - 11ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 10.8376 - mae: 11.3296 - val_loss: 11.1182 - val_mae: 11.6027 - 113ms/epoch - 11ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 10.8438 - mae: 11.3298 - val_loss: 11.0366 - val_mae: 11.5221 - 136ms/epoch - 14ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 10.8188 - mae: 11.3117 - val_loss: 11.0451 - val_mae: 11.5309 - 119ms/epoch - 12ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 10.9632 - mae: 11.4541 - val_loss: 11.1837 - val_mae: 11.6730 - 129ms/epoch - 13ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 10.7556 - mae: 11.2423 - val_loss: 11.3326 - val_mae: 11.8133 - 119ms/epoch - 12ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 11.0789 - mae: 11.5707 - val_loss: 11.4874 - val_mae: 11.9758 - 114ms/epoch - 11ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 11.2658 - mae: 11.7542 - val_loss: 11.2198 - val_mae: 11.6972 - 160ms/epoch - 16ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 10.9108 - mae: 11.3974 - val_loss: 11.0334 - val_mae: 11.5198 - 209ms/epoch - 21ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 10.8404 - mae: 11.3308 - val_loss: 11.0870 - val_mae: 11.5694 - 211ms/epoch - 21ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 10.8560 - mae: 11.3415 - val_loss: 11.0174 - val_mae: 11.5038 - 198ms/epoch - 20ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 10.8454 - mae: 11.3383 - val_loss: 11.0157 - val_mae: 11.4986 - 193ms/epoch - 19ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 10.8521 - mae: 11.3378 - val_loss: 11.1745 - val_mae: 11.6663 - 215ms/epoch - 22ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 11.0438 - mae: 11.5265 - val_loss: 11.0961 - val_mae: 11.5750 - 216ms/epoch - 22ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 10.8546 - mae: 11.3405 - val_loss: 11.0391 - val_mae: 11.5270 - 210ms/epoch - 21ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 10.7942 - mae: 11.2827 - val_loss: 11.0794 - val_mae: 11.5676 - 203ms/epoch - 20ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 10.8816 - mae: 11.3738 - val_loss: 11.0837 - val_mae: 11.5719 - 204ms/epoch - 20ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 10.8830 - mae: 11.3700 - val_loss: 11.0164 - val_mae: 11.4992 - 208ms/epoch - 21ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 10.8549 - mae: 11.3483 - val_loss: 11.0471 - val_mae: 11.5276 - 195ms/epoch - 20ms/step\n","\n","\n","Training FCN_DCT ============= with mean_squared_error\n","\n","Epoch 1/125\n","10/10 - 3s - loss: 6510.5098 - mae: 79.1510 - val_loss: 6342.7964 - val_mae: 78.2518 - 3s/epoch - 284ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 6168.3833 - mae: 76.9484 - val_loss: 5762.3203 - val_mae: 74.4496 - 169ms/epoch - 17ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 5370.7388 - mae: 71.5333 - val_loss: 4589.9258 - val_mae: 66.0969 - 160ms/epoch - 16ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 3905.4443 - mae: 60.3611 - val_loss: 2690.2283 - val_mae: 49.6189 - 172ms/epoch - 17ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 1800.4692 - mae: 38.6648 - val_loss: 568.1359 - val_mae: 19.3692 - 200ms/epoch - 20ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 420.9611 - mae: 15.8253 - val_loss: 632.3481 - val_mae: 21.3127 - 128ms/epoch - 13ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 462.2932 - mae: 16.9681 - val_loss: 278.7915 - val_mae: 13.1733 - 159ms/epoch - 16ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 330.3468 - mae: 13.2625 - val_loss: 288.2003 - val_mae: 13.3359 - 124ms/epoch - 12ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 311.5293 - mae: 12.8706 - val_loss: 263.9194 - val_mae: 12.7670 - 165ms/epoch - 17ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 285.1242 - mae: 12.4493 - val_loss: 262.1494 - val_mae: 12.7147 - 171ms/epoch - 17ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 274.2044 - mae: 12.1416 - val_loss: 250.3485 - val_mae: 12.4237 - 157ms/epoch - 16ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 269.0537 - mae: 12.0626 - val_loss: 248.0964 - val_mae: 12.3610 - 189ms/epoch - 19ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 264.8741 - mae: 12.0015 - val_loss: 245.5585 - val_mae: 12.2813 - 166ms/epoch - 17ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 260.5338 - mae: 11.9887 - val_loss: 245.9399 - val_mae: 12.2575 - 130ms/epoch - 13ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 258.3636 - mae: 11.9482 - val_loss: 241.2561 - val_mae: 12.1427 - 171ms/epoch - 17ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 254.9525 - mae: 11.9082 - val_loss: 241.7681 - val_mae: 12.1345 - 130ms/epoch - 13ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 253.1895 - mae: 11.9090 - val_loss: 241.1368 - val_mae: 12.1043 - 171ms/epoch - 17ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 250.2465 - mae: 11.8146 - val_loss: 236.5150 - val_mae: 11.9793 - 172ms/epoch - 17ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 248.6696 - mae: 11.8281 - val_loss: 235.7923 - val_mae: 11.9468 - 175ms/epoch - 17ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 248.3107 - mae: 11.8474 - val_loss: 234.5788 - val_mae: 11.9104 - 164ms/epoch - 16ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 245.4282 - mae: 11.7840 - val_loss: 235.3105 - val_mae: 11.9076 - 121ms/epoch - 12ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 244.4713 - mae: 11.7861 - val_loss: 234.6513 - val_mae: 11.8792 - 134ms/epoch - 13ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 244.2598 - mae: 11.7777 - val_loss: 232.3535 - val_mae: 11.8399 - 155ms/epoch - 15ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 242.8025 - mae: 11.7599 - val_loss: 235.5070 - val_mae: 11.8618 - 135ms/epoch - 13ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 241.9191 - mae: 11.8128 - val_loss: 231.4895 - val_mae: 11.8011 - 171ms/epoch - 17ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 243.6974 - mae: 11.7751 - val_loss: 230.7947 - val_mae: 11.7785 - 172ms/epoch - 17ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 239.8458 - mae: 11.7042 - val_loss: 231.9712 - val_mae: 11.7752 - 116ms/epoch - 12ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 240.9800 - mae: 11.8053 - val_loss: 233.6694 - val_mae: 11.7711 - 134ms/epoch - 13ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 240.0960 - mae: 11.7210 - val_loss: 229.9960 - val_mae: 11.7345 - 171ms/epoch - 17ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 240.0453 - mae: 11.7740 - val_loss: 231.8051 - val_mae: 11.7368 - 124ms/epoch - 12ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 238.4104 - mae: 11.7245 - val_loss: 229.4809 - val_mae: 11.7082 - 161ms/epoch - 16ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 238.5953 - mae: 11.7141 - val_loss: 229.5435 - val_mae: 11.6992 - 146ms/epoch - 15ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 237.9109 - mae: 11.6998 - val_loss: 229.2654 - val_mae: 11.6881 - 157ms/epoch - 16ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 238.7569 - mae: 11.7419 - val_loss: 230.8603 - val_mae: 11.6878 - 137ms/epoch - 14ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 240.6612 - mae: 11.7962 - val_loss: 229.1724 - val_mae: 11.6746 - 167ms/epoch - 17ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 238.9274 - mae: 11.7879 - val_loss: 232.8315 - val_mae: 11.6834 - 127ms/epoch - 13ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 236.1474 - mae: 11.6862 - val_loss: 228.7547 - val_mae: 11.6473 - 165ms/epoch - 16ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 236.8822 - mae: 11.6848 - val_loss: 229.2035 - val_mae: 11.6469 - 133ms/epoch - 13ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 240.0720 - mae: 11.8928 - val_loss: 230.9037 - val_mae: 11.6479 - 137ms/epoch - 14ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 239.2851 - mae: 11.7431 - val_loss: 228.6571 - val_mae: 11.6356 - 165ms/epoch - 17ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 236.2062 - mae: 11.6677 - val_loss: 229.0908 - val_mae: 11.6254 - 119ms/epoch - 12ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 236.9408 - mae: 11.7688 - val_loss: 229.9083 - val_mae: 11.6231 - 130ms/epoch - 13ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 235.6963 - mae: 11.6676 - val_loss: 228.8216 - val_mae: 11.6113 - 135ms/epoch - 14ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 236.4939 - mae: 11.6668 - val_loss: 228.6096 - val_mae: 11.6046 - 172ms/epoch - 17ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 234.5981 - mae: 11.6687 - val_loss: 231.9342 - val_mae: 11.6932 - 119ms/epoch - 12ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 237.6190 - mae: 11.7554 - val_loss: 228.7288 - val_mae: 11.6132 - 136ms/epoch - 14ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 234.9847 - mae: 11.6269 - val_loss: 229.1016 - val_mae: 11.5937 - 134ms/epoch - 13ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 235.0890 - mae: 11.6855 - val_loss: 229.5590 - val_mae: 11.6135 - 131ms/epoch - 13ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 235.0003 - mae: 11.7020 - val_loss: 228.7013 - val_mae: 11.5824 - 126ms/epoch - 13ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 234.6248 - mae: 11.6352 - val_loss: 228.7374 - val_mae: 11.5784 - 129ms/epoch - 13ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 238.5981 - mae: 11.8250 - val_loss: 228.6432 - val_mae: 11.5751 - 120ms/epoch - 12ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 239.6301 - mae: 11.7675 - val_loss: 228.5604 - val_mae: 11.5840 - 165ms/epoch - 17ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 235.0920 - mae: 11.7153 - val_loss: 231.3652 - val_mae: 11.7048 - 144ms/epoch - 14ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 233.1854 - mae: 11.6101 - val_loss: 228.5649 - val_mae: 11.5800 - 135ms/epoch - 13ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 234.2172 - mae: 11.6211 - val_loss: 228.6172 - val_mae: 11.5729 - 138ms/epoch - 14ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 234.1409 - mae: 11.6521 - val_loss: 228.9738 - val_mae: 11.5955 - 115ms/epoch - 12ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 233.8399 - mae: 11.6244 - val_loss: 228.6888 - val_mae: 11.5762 - 135ms/epoch - 14ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 233.6131 - mae: 11.6148 - val_loss: 228.6226 - val_mae: 11.5713 - 130ms/epoch - 13ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 234.5397 - mae: 11.7266 - val_loss: 229.4461 - val_mae: 11.6347 - 129ms/epoch - 13ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 234.0913 - mae: 11.5956 - val_loss: 228.7147 - val_mae: 11.5845 - 185ms/epoch - 18ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 237.0433 - mae: 11.7734 - val_loss: 229.9494 - val_mae: 11.6608 - 211ms/epoch - 21ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 235.0226 - mae: 11.6537 - val_loss: 228.7719 - val_mae: 11.5928 - 217ms/epoch - 22ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 233.9132 - mae: 11.6383 - val_loss: 229.9289 - val_mae: 11.6604 - 197ms/epoch - 20ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 234.4969 - mae: 11.6974 - val_loss: 229.7908 - val_mae: 11.6586 - 223ms/epoch - 22ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 232.8700 - mae: 11.5944 - val_loss: 228.5495 - val_mae: 11.5723 - 268ms/epoch - 27ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 234.5205 - mae: 11.5855 - val_loss: 229.6375 - val_mae: 11.6515 - 251ms/epoch - 25ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 236.4967 - mae: 11.7929 - val_loss: 228.5013 - val_mae: 11.5740 - 278ms/epoch - 28ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 237.3397 - mae: 11.6391 - val_loss: 228.7219 - val_mae: 11.6028 - 203ms/epoch - 20ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 240.6158 - mae: 11.8902 - val_loss: 228.6142 - val_mae: 11.5798 - 192ms/epoch - 19ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 233.2066 - mae: 11.6175 - val_loss: 228.9023 - val_mae: 11.6213 - 207ms/epoch - 21ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 233.7440 - mae: 11.6153 - val_loss: 230.2290 - val_mae: 11.6819 - 217ms/epoch - 22ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 233.3970 - mae: 11.6704 - val_loss: 228.5744 - val_mae: 11.5963 - 205ms/epoch - 20ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 234.2666 - mae: 11.6133 - val_loss: 229.3065 - val_mae: 11.6430 - 204ms/epoch - 20ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 235.4336 - mae: 11.6726 - val_loss: 229.8892 - val_mae: 11.6705 - 227ms/epoch - 23ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 232.6478 - mae: 11.6219 - val_loss: 228.4460 - val_mae: 11.5853 - 269ms/epoch - 27ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 232.7238 - mae: 11.5765 - val_loss: 228.4455 - val_mae: 11.5878 - 252ms/epoch - 25ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 232.9284 - mae: 11.6132 - val_loss: 229.0818 - val_mae: 11.6353 - 223ms/epoch - 22ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 232.3757 - mae: 11.5845 - val_loss: 228.5812 - val_mae: 11.6062 - 209ms/epoch - 21ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 232.4959 - mae: 11.5692 - val_loss: 228.9473 - val_mae: 11.6329 - 211ms/epoch - 21ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 232.4415 - mae: 11.6374 - val_loss: 228.8450 - val_mae: 11.6266 - 144ms/epoch - 14ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 233.4002 - mae: 11.5994 - val_loss: 229.1007 - val_mae: 11.6418 - 127ms/epoch - 13ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 234.0628 - mae: 11.6875 - val_loss: 228.5558 - val_mae: 11.6027 - 146ms/epoch - 15ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 242.4292 - mae: 11.8193 - val_loss: 228.5598 - val_mae: 11.5828 - 129ms/epoch - 13ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 233.6303 - mae: 11.7013 - val_loss: 232.8254 - val_mae: 11.8066 - 127ms/epoch - 13ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 231.9514 - mae: 11.5947 - val_loss: 228.6985 - val_mae: 11.5896 - 135ms/epoch - 13ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 236.3459 - mae: 11.6932 - val_loss: 228.5031 - val_mae: 11.5827 - 119ms/epoch - 12ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 233.0877 - mae: 11.5855 - val_loss: 228.4063 - val_mae: 11.5947 - 173ms/epoch - 17ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 234.5368 - mae: 11.6308 - val_loss: 228.5052 - val_mae: 11.6053 - 117ms/epoch - 12ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 235.6382 - mae: 11.7851 - val_loss: 228.3713 - val_mae: 11.5955 - 165ms/epoch - 16ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 234.0481 - mae: 11.5720 - val_loss: 228.8607 - val_mae: 11.6355 - 117ms/epoch - 12ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 234.0190 - mae: 11.7226 - val_loss: 228.6271 - val_mae: 11.5863 - 121ms/epoch - 12ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 234.7933 - mae: 11.6434 - val_loss: 229.6926 - val_mae: 11.6734 - 125ms/epoch - 13ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 234.2561 - mae: 11.6238 - val_loss: 228.4597 - val_mae: 11.5847 - 131ms/epoch - 13ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 234.9492 - mae: 11.7193 - val_loss: 230.2222 - val_mae: 11.6883 - 178ms/epoch - 18ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 231.1382 - mae: 11.5526 - val_loss: 228.6555 - val_mae: 11.5917 - 127ms/epoch - 13ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 237.8486 - mae: 11.8057 - val_loss: 228.6146 - val_mae: 11.6237 - 118ms/epoch - 12ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 231.2567 - mae: 11.5028 - val_loss: 228.9941 - val_mae: 11.6048 - 134ms/epoch - 13ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 234.4764 - mae: 11.6738 - val_loss: 230.4815 - val_mae: 11.7008 - 127ms/epoch - 13ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 233.6560 - mae: 11.6415 - val_loss: 228.4209 - val_mae: 11.6091 - 134ms/epoch - 13ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 231.1752 - mae: 11.5429 - val_loss: 229.2514 - val_mae: 11.6576 - 139ms/epoch - 14ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 232.1923 - mae: 11.5952 - val_loss: 228.4291 - val_mae: 11.5845 - 118ms/epoch - 12ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 232.9610 - mae: 11.6469 - val_loss: 229.2815 - val_mae: 11.6605 - 140ms/epoch - 14ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 232.6982 - mae: 11.5835 - val_loss: 228.3523 - val_mae: 11.6039 - 170ms/epoch - 17ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 232.9156 - mae: 11.6428 - val_loss: 229.6667 - val_mae: 11.6761 - 126ms/epoch - 13ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 233.0994 - mae: 11.5214 - val_loss: 228.3114 - val_mae: 11.6040 - 164ms/epoch - 16ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 230.9972 - mae: 11.5786 - val_loss: 230.2146 - val_mae: 11.6988 - 118ms/epoch - 12ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 230.7449 - mae: 11.5361 - val_loss: 228.3094 - val_mae: 11.5974 - 162ms/epoch - 16ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 232.5956 - mae: 11.5728 - val_loss: 230.0462 - val_mae: 11.6925 - 142ms/epoch - 14ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 231.8266 - mae: 11.5781 - val_loss: 228.3678 - val_mae: 11.6071 - 129ms/epoch - 13ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 231.1094 - mae: 11.5574 - val_loss: 230.0884 - val_mae: 11.6966 - 126ms/epoch - 13ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 231.2228 - mae: 11.6018 - val_loss: 228.2638 - val_mae: 11.5988 - 172ms/epoch - 17ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 231.8352 - mae: 11.5221 - val_loss: 228.5332 - val_mae: 11.6285 - 131ms/epoch - 13ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 230.7623 - mae: 11.5385 - val_loss: 228.4606 - val_mae: 11.6234 - 128ms/epoch - 13ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 231.4923 - mae: 11.5876 - val_loss: 228.4377 - val_mae: 11.5937 - 122ms/epoch - 12ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 234.7273 - mae: 11.6210 - val_loss: 230.1621 - val_mae: 11.7038 - 129ms/epoch - 13ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 232.6729 - mae: 11.5714 - val_loss: 228.7674 - val_mae: 11.6468 - 130ms/epoch - 13ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 230.6924 - mae: 11.5471 - val_loss: 229.3165 - val_mae: 11.6713 - 139ms/epoch - 14ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 232.1165 - mae: 11.5596 - val_loss: 228.2877 - val_mae: 11.6114 - 116ms/epoch - 12ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 231.2939 - mae: 11.5662 - val_loss: 228.4643 - val_mae: 11.6289 - 121ms/epoch - 12ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 230.1187 - mae: 11.5271 - val_loss: 228.5856 - val_mae: 11.6414 - 135ms/epoch - 14ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 231.8219 - mae: 11.5320 - val_loss: 228.1803 - val_mae: 11.6074 - 157ms/epoch - 16ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 230.3696 - mae: 11.5737 - val_loss: 229.7283 - val_mae: 11.6923 - 139ms/epoch - 14ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 231.5692 - mae: 11.5442 - val_loss: 228.0970 - val_mae: 11.6048 - 161ms/epoch - 16ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 233.1044 - mae: 11.6292 - val_loss: 227.9338 - val_mae: 11.5917 - 170ms/epoch - 17ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 230.6191 - mae: 11.5016 - val_loss: 228.3290 - val_mae: 11.6315 - 118ms/epoch - 12ms/step\n","\n","\n","Training FCN_DCT ============= with mean_absolute_error\n","\n","Epoch 1/125\n","10/10 - 3s - loss: 79.6531 - mae: 79.6531 - val_loss: 79.3682 - val_mae: 79.3682 - 3s/epoch - 274ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 78.7522 - mae: 78.7522 - val_loss: 77.6878 - val_mae: 77.6878 - 158ms/epoch - 16ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 76.1266 - mae: 76.1266 - val_loss: 73.1009 - val_mae: 73.1009 - 171ms/epoch - 17ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 69.2345 - mae: 69.2345 - val_loss: 61.8729 - val_mae: 61.8729 - 161ms/epoch - 16ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 52.4105 - mae: 52.4105 - val_loss: 34.4160 - val_mae: 34.4160 - 161ms/epoch - 16ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 20.9931 - mae: 20.9931 - val_loss: 21.8157 - val_mae: 21.8157 - 235ms/epoch - 23ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 17.9331 - mae: 17.9331 - val_loss: 14.1855 - val_mae: 14.1855 - 275ms/epoch - 28ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 14.7893 - mae: 14.7893 - val_loss: 13.8847 - val_mae: 13.8847 - 289ms/epoch - 29ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 13.6598 - mae: 13.6598 - val_loss: 13.7502 - val_mae: 13.7502 - 255ms/epoch - 25ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 12.9275 - mae: 12.9275 - val_loss: 13.5100 - val_mae: 13.5100 - 277ms/epoch - 28ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 12.8644 - mae: 12.8644 - val_loss: 13.1249 - val_mae: 13.1249 - 268ms/epoch - 27ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 12.6861 - mae: 12.6861 - val_loss: 12.8592 - val_mae: 12.8592 - 274ms/epoch - 27ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 12.5280 - mae: 12.5280 - val_loss: 12.7422 - val_mae: 12.7422 - 253ms/epoch - 25ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 12.4221 - mae: 12.4221 - val_loss: 12.6490 - val_mae: 12.6490 - 277ms/epoch - 28ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 12.4511 - mae: 12.4511 - val_loss: 12.5711 - val_mae: 12.5711 - 273ms/epoch - 27ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 12.3562 - mae: 12.3562 - val_loss: 12.5507 - val_mae: 12.5507 - 272ms/epoch - 27ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 12.2580 - mae: 12.2580 - val_loss: 12.4518 - val_mae: 12.4518 - 263ms/epoch - 26ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 12.2667 - mae: 12.2667 - val_loss: 12.4358 - val_mae: 12.4358 - 271ms/epoch - 27ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 12.2725 - mae: 12.2725 - val_loss: 12.4013 - val_mae: 12.4013 - 284ms/epoch - 28ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 12.2241 - mae: 12.2241 - val_loss: 12.3166 - val_mae: 12.3166 - 273ms/epoch - 27ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 12.1773 - mae: 12.1773 - val_loss: 12.3893 - val_mae: 12.3893 - 199ms/epoch - 20ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 12.1507 - mae: 12.1507 - val_loss: 12.2395 - val_mae: 12.2395 - 208ms/epoch - 21ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 12.3548 - mae: 12.3548 - val_loss: 12.2124 - val_mae: 12.2124 - 153ms/epoch - 15ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 12.1905 - mae: 12.1905 - val_loss: 12.3636 - val_mae: 12.3636 - 131ms/epoch - 13ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 12.1323 - mae: 12.1323 - val_loss: 12.2199 - val_mae: 12.2199 - 122ms/epoch - 12ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 12.1559 - mae: 12.1559 - val_loss: 12.2120 - val_mae: 12.2120 - 158ms/epoch - 16ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 12.1054 - mae: 12.1054 - val_loss: 12.1741 - val_mae: 12.1741 - 173ms/epoch - 17ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 12.0800 - mae: 12.0800 - val_loss: 12.1377 - val_mae: 12.1377 - 152ms/epoch - 15ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 12.2047 - mae: 12.2047 - val_loss: 12.1387 - val_mae: 12.1387 - 136ms/epoch - 14ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 12.3639 - mae: 12.3639 - val_loss: 12.1227 - val_mae: 12.1227 - 168ms/epoch - 17ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 12.3086 - mae: 12.3086 - val_loss: 12.1234 - val_mae: 12.1234 - 141ms/epoch - 14ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 12.4250 - mae: 12.4250 - val_loss: 12.1036 - val_mae: 12.1036 - 169ms/epoch - 17ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 12.1522 - mae: 12.1522 - val_loss: 12.2189 - val_mae: 12.2189 - 137ms/epoch - 14ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 12.1064 - mae: 12.1064 - val_loss: 12.1014 - val_mae: 12.1014 - 153ms/epoch - 15ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 12.2152 - mae: 12.2152 - val_loss: 12.0737 - val_mae: 12.0737 - 173ms/epoch - 17ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 12.1544 - mae: 12.1544 - val_loss: 12.0765 - val_mae: 12.0765 - 127ms/epoch - 13ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 12.0910 - mae: 12.0910 - val_loss: 12.0594 - val_mae: 12.0594 - 172ms/epoch - 17ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 12.0300 - mae: 12.0300 - val_loss: 12.0744 - val_mae: 12.0744 - 123ms/epoch - 12ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 12.0393 - mae: 12.0393 - val_loss: 12.0467 - val_mae: 12.0467 - 170ms/epoch - 17ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 12.0893 - mae: 12.0893 - val_loss: 12.0371 - val_mae: 12.0371 - 167ms/epoch - 17ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 12.1164 - mae: 12.1164 - val_loss: 12.0523 - val_mae: 12.0523 - 123ms/epoch - 12ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 12.1070 - mae: 12.1070 - val_loss: 12.1178 - val_mae: 12.1178 - 127ms/epoch - 13ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 12.1531 - mae: 12.1531 - val_loss: 12.0291 - val_mae: 12.0291 - 181ms/epoch - 18ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 12.0676 - mae: 12.0676 - val_loss: 12.0288 - val_mae: 12.0288 - 155ms/epoch - 15ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 12.0803 - mae: 12.0803 - val_loss: 12.0195 - val_mae: 12.0195 - 175ms/epoch - 18ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 12.0358 - mae: 12.0358 - val_loss: 12.0038 - val_mae: 12.0038 - 167ms/epoch - 17ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 12.0078 - mae: 12.0078 - val_loss: 12.0140 - val_mae: 12.0140 - 128ms/epoch - 13ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 12.0878 - mae: 12.0878 - val_loss: 12.0058 - val_mae: 12.0058 - 131ms/epoch - 13ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 12.1677 - mae: 12.1677 - val_loss: 12.0136 - val_mae: 12.0136 - 140ms/epoch - 14ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 12.0714 - mae: 12.0714 - val_loss: 11.9913 - val_mae: 11.9913 - 173ms/epoch - 17ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 12.0276 - mae: 12.0276 - val_loss: 12.0006 - val_mae: 12.0006 - 138ms/epoch - 14ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 12.0173 - mae: 12.0173 - val_loss: 11.9843 - val_mae: 11.9843 - 171ms/epoch - 17ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 12.0176 - mae: 12.0176 - val_loss: 11.9924 - val_mae: 11.9924 - 131ms/epoch - 13ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 12.1936 - mae: 12.1936 - val_loss: 11.9927 - val_mae: 11.9927 - 132ms/epoch - 13ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 12.1056 - mae: 12.1056 - val_loss: 11.9672 - val_mae: 11.9672 - 160ms/epoch - 16ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 12.0079 - mae: 12.0079 - val_loss: 11.9738 - val_mae: 11.9738 - 140ms/epoch - 14ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 12.0470 - mae: 12.0470 - val_loss: 11.9626 - val_mae: 11.9626 - 178ms/epoch - 18ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 12.1124 - mae: 12.1124 - val_loss: 11.9778 - val_mae: 11.9778 - 116ms/epoch - 12ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 12.1793 - mae: 12.1793 - val_loss: 11.9601 - val_mae: 11.9601 - 160ms/epoch - 16ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 12.0593 - mae: 12.0593 - val_loss: 11.9540 - val_mae: 11.9540 - 172ms/epoch - 17ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 12.0494 - mae: 12.0494 - val_loss: 11.9616 - val_mae: 11.9616 - 131ms/epoch - 13ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 11.9755 - mae: 11.9755 - val_loss: 11.9453 - val_mae: 11.9453 - 169ms/epoch - 17ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 11.9937 - mae: 11.9937 - val_loss: 11.9641 - val_mae: 11.9641 - 115ms/epoch - 12ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 12.1256 - mae: 12.1256 - val_loss: 11.9688 - val_mae: 11.9688 - 124ms/epoch - 12ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 12.1818 - mae: 12.1818 - val_loss: 11.9429 - val_mae: 11.9429 - 172ms/epoch - 17ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 12.0483 - mae: 12.0483 - val_loss: 11.9634 - val_mae: 11.9634 - 131ms/epoch - 13ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 12.0752 - mae: 12.0752 - val_loss: 11.9434 - val_mae: 11.9434 - 137ms/epoch - 14ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 11.9835 - mae: 11.9835 - val_loss: 11.9325 - val_mae: 11.9325 - 153ms/epoch - 15ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 12.1888 - mae: 12.1888 - val_loss: 11.9443 - val_mae: 11.9443 - 126ms/epoch - 13ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 12.0418 - mae: 12.0418 - val_loss: 11.9237 - val_mae: 11.9237 - 182ms/epoch - 18ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 12.0528 - mae: 12.0528 - val_loss: 11.9319 - val_mae: 11.9319 - 144ms/epoch - 14ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 12.0472 - mae: 12.0472 - val_loss: 11.9451 - val_mae: 11.9451 - 132ms/epoch - 13ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 11.9747 - mae: 11.9747 - val_loss: 11.9262 - val_mae: 11.9262 - 118ms/epoch - 12ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 11.9690 - mae: 11.9690 - val_loss: 11.9368 - val_mae: 11.9368 - 139ms/epoch - 14ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 12.0203 - mae: 12.0203 - val_loss: 11.9318 - val_mae: 11.9318 - 117ms/epoch - 12ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 12.0109 - mae: 12.0109 - val_loss: 11.9273 - val_mae: 11.9273 - 119ms/epoch - 12ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 12.0097 - mae: 12.0097 - val_loss: 11.9077 - val_mae: 11.9077 - 192ms/epoch - 19ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 12.0748 - mae: 12.0748 - val_loss: 11.9411 - val_mae: 11.9411 - 119ms/epoch - 12ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 12.0142 - mae: 12.0142 - val_loss: 11.9061 - val_mae: 11.9061 - 161ms/epoch - 16ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 11.9725 - mae: 11.9725 - val_loss: 11.9160 - val_mae: 11.9160 - 135ms/epoch - 13ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 12.0233 - mae: 12.0233 - val_loss: 11.9305 - val_mae: 11.9305 - 128ms/epoch - 13ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 12.0463 - mae: 12.0463 - val_loss: 11.9062 - val_mae: 11.9062 - 130ms/epoch - 13ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 11.9755 - mae: 11.9755 - val_loss: 11.8994 - val_mae: 11.8994 - 176ms/epoch - 18ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 12.0346 - mae: 12.0346 - val_loss: 11.9059 - val_mae: 11.9059 - 126ms/epoch - 13ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 11.9460 - mae: 11.9460 - val_loss: 11.9116 - val_mae: 11.9116 - 118ms/epoch - 12ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 12.0114 - mae: 12.0114 - val_loss: 11.8952 - val_mae: 11.8952 - 164ms/epoch - 16ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 12.0478 - mae: 12.0478 - val_loss: 11.9097 - val_mae: 11.9097 - 131ms/epoch - 13ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 12.0133 - mae: 12.0133 - val_loss: 11.8935 - val_mae: 11.8935 - 170ms/epoch - 17ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 11.9977 - mae: 11.9977 - val_loss: 11.8962 - val_mae: 11.8962 - 151ms/epoch - 15ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 11.9605 - mae: 11.9605 - val_loss: 11.8935 - val_mae: 11.8935 - 284ms/epoch - 28ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 12.0016 - mae: 12.0016 - val_loss: 11.9079 - val_mae: 11.9079 - 209ms/epoch - 21ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 12.0201 - mae: 12.0201 - val_loss: 11.8985 - val_mae: 11.8985 - 209ms/epoch - 21ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 12.0328 - mae: 12.0328 - val_loss: 11.8868 - val_mae: 11.8868 - 276ms/epoch - 28ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 12.0357 - mae: 12.0357 - val_loss: 11.8868 - val_mae: 11.8868 - 211ms/epoch - 21ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 11.9930 - mae: 11.9930 - val_loss: 11.8936 - val_mae: 11.8936 - 203ms/epoch - 20ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 11.9501 - mae: 11.9501 - val_loss: 11.8853 - val_mae: 11.8853 - 264ms/epoch - 26ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 12.0271 - mae: 12.0271 - val_loss: 11.8867 - val_mae: 11.8867 - 196ms/epoch - 20ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 11.9652 - mae: 11.9652 - val_loss: 11.8843 - val_mae: 11.8843 - 259ms/epoch - 26ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 11.9315 - mae: 11.9315 - val_loss: 11.8994 - val_mae: 11.8994 - 223ms/epoch - 22ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 11.9478 - mae: 11.9478 - val_loss: 11.8934 - val_mae: 11.8934 - 199ms/epoch - 20ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 11.9508 - mae: 11.9508 - val_loss: 11.8850 - val_mae: 11.8850 - 220ms/epoch - 22ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 11.9405 - mae: 11.9405 - val_loss: 11.8977 - val_mae: 11.8977 - 223ms/epoch - 22ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 11.9339 - mae: 11.9339 - val_loss: 11.8903 - val_mae: 11.8903 - 208ms/epoch - 21ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 11.9955 - mae: 11.9955 - val_loss: 11.8896 - val_mae: 11.8896 - 220ms/epoch - 22ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 11.9830 - mae: 11.9830 - val_loss: 11.9104 - val_mae: 11.9104 - 198ms/epoch - 20ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 12.0598 - mae: 12.0598 - val_loss: 11.8833 - val_mae: 11.8833 - 263ms/epoch - 26ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 12.0356 - mae: 12.0356 - val_loss: 11.8985 - val_mae: 11.8985 - 204ms/epoch - 20ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 12.0764 - mae: 12.0764 - val_loss: 11.8886 - val_mae: 11.8886 - 196ms/epoch - 20ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 12.1784 - mae: 12.1784 - val_loss: 11.8854 - val_mae: 11.8854 - 135ms/epoch - 14ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 12.0181 - mae: 12.0181 - val_loss: 11.8912 - val_mae: 11.8912 - 119ms/epoch - 12ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 12.0157 - mae: 12.0157 - val_loss: 11.8857 - val_mae: 11.8857 - 132ms/epoch - 13ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 12.0633 - mae: 12.0633 - val_loss: 11.8997 - val_mae: 11.8997 - 128ms/epoch - 13ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 12.0017 - mae: 12.0017 - val_loss: 11.8826 - val_mae: 11.8826 - 176ms/epoch - 18ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 11.9342 - mae: 11.9342 - val_loss: 11.8971 - val_mae: 11.8971 - 139ms/epoch - 14ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 12.0316 - mae: 12.0316 - val_loss: 11.8844 - val_mae: 11.8844 - 128ms/epoch - 13ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 11.9187 - mae: 11.9187 - val_loss: 11.9002 - val_mae: 11.9002 - 136ms/epoch - 14ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 11.9807 - mae: 11.9807 - val_loss: 11.8906 - val_mae: 11.8906 - 131ms/epoch - 13ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 11.9699 - mae: 11.9699 - val_loss: 11.8856 - val_mae: 11.8856 - 123ms/epoch - 12ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 11.9358 - mae: 11.9358 - val_loss: 11.8909 - val_mae: 11.8909 - 133ms/epoch - 13ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 11.8996 - mae: 11.8996 - val_loss: 11.8769 - val_mae: 11.8769 - 172ms/epoch - 17ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 11.9680 - mae: 11.9680 - val_loss: 11.8932 - val_mae: 11.8932 - 137ms/epoch - 14ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 11.9483 - mae: 11.9483 - val_loss: 11.8815 - val_mae: 11.8815 - 150ms/epoch - 15ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 12.0058 - mae: 12.0058 - val_loss: 11.8824 - val_mae: 11.8824 - 121ms/epoch - 12ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 11.9926 - mae: 11.9926 - val_loss: 11.8886 - val_mae: 11.8886 - 147ms/epoch - 15ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 11.9087 - mae: 11.9087 - val_loss: 11.8789 - val_mae: 11.8789 - 138ms/epoch - 14ms/step\n","\n","\n","Training FCN_DCT ============= with log_cosh\n","\n","Epoch 1/125\n","10/10 - 3s - loss: 78.8848 - mae: 79.5780 - val_loss: 78.4790 - val_mae: 79.1721 - 3s/epoch - 308ms/step\n","Epoch 2/125\n","10/10 - 0s - loss: 77.5414 - mae: 78.2346 - val_loss: 75.8859 - val_mae: 76.5790 - 271ms/epoch - 27ms/step\n","Epoch 3/125\n","10/10 - 0s - loss: 73.2623 - mae: 73.9555 - val_loss: 68.5989 - val_mae: 69.2921 - 281ms/epoch - 28ms/step\n","Epoch 4/125\n","10/10 - 0s - loss: 62.3125 - mae: 63.0057 - val_loss: 50.9583 - val_mae: 51.6514 - 282ms/epoch - 28ms/step\n","Epoch 5/125\n","10/10 - 0s - loss: 35.9689 - mae: 36.6586 - val_loss: 13.5252 - val_mae: 14.2006 - 258ms/epoch - 26ms/step\n","Epoch 6/125\n","10/10 - 0s - loss: 14.5087 - mae: 15.1876 - val_loss: 14.1651 - val_mae: 14.8328 - 222ms/epoch - 22ms/step\n","Epoch 7/125\n","10/10 - 0s - loss: 11.9612 - mae: 12.6288 - val_loss: 12.9134 - val_mae: 13.5848 - 260ms/epoch - 26ms/step\n","Epoch 8/125\n","10/10 - 0s - loss: 11.8161 - mae: 12.4770 - val_loss: 12.3834 - val_mae: 13.0571 - 275ms/epoch - 27ms/step\n","Epoch 9/125\n","10/10 - 0s - loss: 11.4838 - mae: 12.1508 - val_loss: 12.2541 - val_mae: 12.9462 - 291ms/epoch - 29ms/step\n","Epoch 10/125\n","10/10 - 0s - loss: 11.5023 - mae: 12.1692 - val_loss: 11.9325 - val_mae: 12.5893 - 252ms/epoch - 25ms/step\n","Epoch 11/125\n","10/10 - 0s - loss: 11.2728 - mae: 11.9321 - val_loss: 11.9267 - val_mae: 12.6106 - 182ms/epoch - 18ms/step\n","Epoch 12/125\n","10/10 - 0s - loss: 11.2540 - mae: 11.9133 - val_loss: 11.8891 - val_mae: 12.5755 - 177ms/epoch - 18ms/step\n","Epoch 13/125\n","10/10 - 0s - loss: 11.1654 - mae: 11.8293 - val_loss: 11.8113 - val_mae: 12.4974 - 176ms/epoch - 18ms/step\n","Epoch 14/125\n","10/10 - 0s - loss: 11.1499 - mae: 11.8127 - val_loss: 11.7524 - val_mae: 12.4362 - 167ms/epoch - 17ms/step\n","Epoch 15/125\n","10/10 - 0s - loss: 11.0641 - mae: 11.7264 - val_loss: 11.7366 - val_mae: 12.4241 - 200ms/epoch - 20ms/step\n","Epoch 16/125\n","10/10 - 0s - loss: 11.0225 - mae: 11.6841 - val_loss: 11.6207 - val_mae: 12.2910 - 159ms/epoch - 16ms/step\n","Epoch 17/125\n","10/10 - 0s - loss: 11.0564 - mae: 11.7172 - val_loss: 11.5883 - val_mae: 12.2620 - 183ms/epoch - 18ms/step\n","Epoch 18/125\n","10/10 - 0s - loss: 11.1341 - mae: 11.8056 - val_loss: 11.5404 - val_mae: 12.2057 - 176ms/epoch - 18ms/step\n","Epoch 19/125\n","10/10 - 0s - loss: 11.0630 - mae: 11.7313 - val_loss: 11.5634 - val_mae: 12.2422 - 137ms/epoch - 14ms/step\n","Epoch 20/125\n","10/10 - 0s - loss: 10.9472 - mae: 11.6068 - val_loss: 11.4788 - val_mae: 12.1521 - 171ms/epoch - 17ms/step\n","Epoch 21/125\n","10/10 - 0s - loss: 10.9844 - mae: 11.6423 - val_loss: 11.5328 - val_mae: 12.2145 - 140ms/epoch - 14ms/step\n","Epoch 22/125\n","10/10 - 0s - loss: 10.9582 - mae: 11.6227 - val_loss: 11.4435 - val_mae: 12.1025 - 187ms/epoch - 19ms/step\n","Epoch 23/125\n","10/10 - 0s - loss: 10.9562 - mae: 11.6207 - val_loss: 11.4287 - val_mae: 12.1063 - 173ms/epoch - 17ms/step\n","Epoch 24/125\n","10/10 - 0s - loss: 10.9325 - mae: 11.5966 - val_loss: 11.4017 - val_mae: 12.0816 - 195ms/epoch - 19ms/step\n","Epoch 25/125\n","10/10 - 0s - loss: 10.9165 - mae: 11.5851 - val_loss: 11.3914 - val_mae: 12.0707 - 177ms/epoch - 18ms/step\n","Epoch 26/125\n","10/10 - 0s - loss: 10.8767 - mae: 11.5415 - val_loss: 11.3751 - val_mae: 12.0532 - 177ms/epoch - 18ms/step\n","Epoch 27/125\n","10/10 - 0s - loss: 10.8557 - mae: 11.5251 - val_loss: 11.3471 - val_mae: 12.0198 - 184ms/epoch - 18ms/step\n","Epoch 28/125\n","10/10 - 0s - loss: 10.9487 - mae: 11.6161 - val_loss: 11.3802 - val_mae: 12.0659 - 134ms/epoch - 13ms/step\n","Epoch 29/125\n","10/10 - 0s - loss: 10.9538 - mae: 11.6255 - val_loss: 11.3234 - val_mae: 11.9997 - 178ms/epoch - 18ms/step\n","Epoch 30/125\n","10/10 - 0s - loss: 11.0668 - mae: 11.7314 - val_loss: 11.3526 - val_mae: 12.0394 - 135ms/epoch - 14ms/step\n","Epoch 31/125\n","10/10 - 0s - loss: 11.2713 - mae: 11.9477 - val_loss: 11.3484 - val_mae: 12.0202 - 153ms/epoch - 15ms/step\n","Epoch 32/125\n","10/10 - 0s - loss: 10.9343 - mae: 11.5962 - val_loss: 11.3004 - val_mae: 11.9848 - 175ms/epoch - 18ms/step\n","Epoch 33/125\n","10/10 - 0s - loss: 11.1223 - mae: 11.7994 - val_loss: 11.2487 - val_mae: 11.9244 - 157ms/epoch - 16ms/step\n","Epoch 34/125\n","10/10 - 0s - loss: 10.8876 - mae: 11.5559 - val_loss: 11.2825 - val_mae: 11.9482 - 150ms/epoch - 15ms/step\n","Epoch 35/125\n","10/10 - 0s - loss: 10.7801 - mae: 11.4536 - val_loss: 11.2191 - val_mae: 11.8987 - 177ms/epoch - 18ms/step\n","Epoch 36/125\n","10/10 - 0s - loss: 10.9681 - mae: 11.6472 - val_loss: 11.2821 - val_mae: 11.9552 - 117ms/epoch - 12ms/step\n","Epoch 37/125\n","10/10 - 0s - loss: 10.9882 - mae: 11.6560 - val_loss: 11.1993 - val_mae: 11.8740 - 173ms/epoch - 17ms/step\n","Epoch 38/125\n","10/10 - 0s - loss: 10.8329 - mae: 11.5010 - val_loss: 11.2164 - val_mae: 11.8973 - 133ms/epoch - 13ms/step\n","Epoch 39/125\n","10/10 - 0s - loss: 10.9899 - mae: 11.6633 - val_loss: 11.1843 - val_mae: 11.8441 - 153ms/epoch - 15ms/step\n","Epoch 40/125\n","10/10 - 0s - loss: 10.9744 - mae: 11.6464 - val_loss: 11.2275 - val_mae: 11.9074 - 132ms/epoch - 13ms/step\n","Epoch 41/125\n","10/10 - 0s - loss: 10.8671 - mae: 11.5437 - val_loss: 11.1485 - val_mae: 11.8138 - 165ms/epoch - 16ms/step\n","Epoch 42/125\n","10/10 - 0s - loss: 10.8164 - mae: 11.4845 - val_loss: 11.1408 - val_mae: 11.8018 - 172ms/epoch - 17ms/step\n","Epoch 43/125\n","10/10 - 0s - loss: 10.7787 - mae: 11.4505 - val_loss: 11.1302 - val_mae: 11.8090 - 164ms/epoch - 16ms/step\n","Epoch 44/125\n","10/10 - 0s - loss: 10.7694 - mae: 11.4335 - val_loss: 11.1883 - val_mae: 11.8595 - 136ms/epoch - 14ms/step\n","Epoch 45/125\n","10/10 - 0s - loss: 10.9883 - mae: 11.6642 - val_loss: 11.1181 - val_mae: 11.7902 - 162ms/epoch - 16ms/step\n","Epoch 46/125\n","10/10 - 0s - loss: 10.8014 - mae: 11.4688 - val_loss: 11.1139 - val_mae: 11.7906 - 176ms/epoch - 18ms/step\n","Epoch 47/125\n","10/10 - 0s - loss: 10.8802 - mae: 11.5503 - val_loss: 11.1014 - val_mae: 11.7655 - 191ms/epoch - 19ms/step\n","Epoch 48/125\n","10/10 - 0s - loss: 10.8604 - mae: 11.5231 - val_loss: 11.0908 - val_mae: 11.7671 - 181ms/epoch - 18ms/step\n","Epoch 49/125\n","10/10 - 0s - loss: 10.7725 - mae: 11.4429 - val_loss: 11.1339 - val_mae: 11.7973 - 143ms/epoch - 14ms/step\n","Epoch 50/125\n","10/10 - 0s - loss: 10.7543 - mae: 11.4266 - val_loss: 11.0798 - val_mae: 11.7462 - 169ms/epoch - 17ms/step\n","Epoch 51/125\n","10/10 - 0s - loss: 10.7028 - mae: 11.3719 - val_loss: 11.0806 - val_mae: 11.7436 - 128ms/epoch - 13ms/step\n","Epoch 52/125\n","10/10 - 0s - loss: 10.7629 - mae: 11.4302 - val_loss: 11.0698 - val_mae: 11.7357 - 168ms/epoch - 17ms/step\n","Epoch 53/125\n","10/10 - 0s - loss: 10.7164 - mae: 11.3884 - val_loss: 11.0992 - val_mae: 11.7610 - 145ms/epoch - 15ms/step\n","Epoch 54/125\n","10/10 - 0s - loss: 10.8475 - mae: 11.5138 - val_loss: 11.0908 - val_mae: 11.7533 - 129ms/epoch - 13ms/step\n","Epoch 55/125\n","10/10 - 0s - loss: 10.6879 - mae: 11.3516 - val_loss: 11.4023 - val_mae: 12.0753 - 134ms/epoch - 13ms/step\n","Epoch 56/125\n","10/10 - 0s - loss: 10.9590 - mae: 11.6239 - val_loss: 11.2747 - val_mae: 11.9522 - 133ms/epoch - 13ms/step\n","Epoch 57/125\n","10/10 - 0s - loss: 10.8916 - mae: 11.5654 - val_loss: 11.2745 - val_mae: 11.9414 - 114ms/epoch - 11ms/step\n","Epoch 58/125\n","10/10 - 0s - loss: 11.0616 - mae: 11.7293 - val_loss: 11.3501 - val_mae: 12.0296 - 119ms/epoch - 12ms/step\n","Epoch 59/125\n","10/10 - 0s - loss: 10.9116 - mae: 11.5779 - val_loss: 11.1810 - val_mae: 11.8505 - 137ms/epoch - 14ms/step\n","Epoch 60/125\n","10/10 - 0s - loss: 10.7887 - mae: 11.4500 - val_loss: 11.0718 - val_mae: 11.7403 - 118ms/epoch - 12ms/step\n","Epoch 61/125\n","10/10 - 0s - loss: 10.7065 - mae: 11.3814 - val_loss: 11.2050 - val_mae: 11.8722 - 132ms/epoch - 13ms/step\n","Epoch 62/125\n","10/10 - 0s - loss: 10.8563 - mae: 11.5245 - val_loss: 11.1423 - val_mae: 11.8205 - 150ms/epoch - 15ms/step\n","Epoch 63/125\n","10/10 - 0s - loss: 10.6835 - mae: 11.3389 - val_loss: 11.1577 - val_mae: 11.8252 - 127ms/epoch - 13ms/step\n","Epoch 64/125\n","10/10 - 0s - loss: 10.9208 - mae: 11.5886 - val_loss: 11.0582 - val_mae: 11.7229 - 157ms/epoch - 16ms/step\n","Epoch 65/125\n","10/10 - 0s - loss: 10.7095 - mae: 11.3751 - val_loss: 11.0103 - val_mae: 11.6698 - 161ms/epoch - 16ms/step\n","Epoch 66/125\n","10/10 - 0s - loss: 10.7263 - mae: 11.3998 - val_loss: 10.9978 - val_mae: 11.6621 - 182ms/epoch - 18ms/step\n","Epoch 67/125\n","10/10 - 0s - loss: 10.7106 - mae: 11.3862 - val_loss: 10.9988 - val_mae: 11.6582 - 116ms/epoch - 12ms/step\n","Epoch 68/125\n","10/10 - 0s - loss: 10.6956 - mae: 11.3670 - val_loss: 11.0018 - val_mae: 11.6583 - 141ms/epoch - 14ms/step\n","Epoch 69/125\n","10/10 - 0s - loss: 10.6840 - mae: 11.3561 - val_loss: 10.9841 - val_mae: 11.6451 - 166ms/epoch - 17ms/step\n","Epoch 70/125\n","10/10 - 0s - loss: 10.7693 - mae: 11.4406 - val_loss: 11.1900 - val_mae: 11.8582 - 128ms/epoch - 13ms/step\n","Epoch 71/125\n","10/10 - 0s - loss: 10.7077 - mae: 11.3713 - val_loss: 11.1026 - val_mae: 11.7790 - 129ms/epoch - 13ms/step\n","Epoch 72/125\n","10/10 - 0s - loss: 10.7925 - mae: 11.4614 - val_loss: 11.0322 - val_mae: 11.6978 - 136ms/epoch - 14ms/step\n","Epoch 73/125\n","10/10 - 0s - loss: 10.9278 - mae: 11.5990 - val_loss: 10.9726 - val_mae: 11.6303 - 174ms/epoch - 17ms/step\n","Epoch 74/125\n","10/10 - 0s - loss: 10.6982 - mae: 11.3604 - val_loss: 10.9642 - val_mae: 11.6242 - 259ms/epoch - 26ms/step\n","Epoch 75/125\n","10/10 - 0s - loss: 10.7761 - mae: 11.4501 - val_loss: 10.9745 - val_mae: 11.6279 - 223ms/epoch - 22ms/step\n","Epoch 76/125\n","10/10 - 0s - loss: 10.7971 - mae: 11.4635 - val_loss: 11.0119 - val_mae: 11.6799 - 201ms/epoch - 20ms/step\n","Epoch 77/125\n","10/10 - 0s - loss: 10.7758 - mae: 11.4479 - val_loss: 11.0157 - val_mae: 11.6806 - 207ms/epoch - 21ms/step\n","Epoch 78/125\n","10/10 - 0s - loss: 10.7143 - mae: 11.3805 - val_loss: 10.9592 - val_mae: 11.6185 - 256ms/epoch - 26ms/step\n","Epoch 79/125\n","10/10 - 0s - loss: 10.6712 - mae: 11.3423 - val_loss: 10.9652 - val_mae: 11.6183 - 216ms/epoch - 22ms/step\n","Epoch 80/125\n","10/10 - 0s - loss: 10.6634 - mae: 11.3392 - val_loss: 10.9701 - val_mae: 11.6241 - 210ms/epoch - 21ms/step\n","Epoch 81/125\n","10/10 - 0s - loss: 10.6586 - mae: 11.3281 - val_loss: 10.9579 - val_mae: 11.6161 - 255ms/epoch - 25ms/step\n","Epoch 82/125\n","10/10 - 0s - loss: 10.7052 - mae: 11.3733 - val_loss: 10.9672 - val_mae: 11.6340 - 234ms/epoch - 23ms/step\n","Epoch 83/125\n","10/10 - 0s - loss: 10.6918 - mae: 11.3603 - val_loss: 10.9723 - val_mae: 11.6267 - 240ms/epoch - 24ms/step\n","Epoch 84/125\n","10/10 - 0s - loss: 10.6765 - mae: 11.3441 - val_loss: 10.9569 - val_mae: 11.6123 - 260ms/epoch - 26ms/step\n","Epoch 85/125\n","10/10 - 0s - loss: 10.7174 - mae: 11.3858 - val_loss: 10.9751 - val_mae: 11.6441 - 217ms/epoch - 22ms/step\n","Epoch 86/125\n","10/10 - 0s - loss: 10.7821 - mae: 11.4586 - val_loss: 11.0520 - val_mae: 11.7214 - 205ms/epoch - 20ms/step\n","Epoch 87/125\n","10/10 - 0s - loss: 10.6897 - mae: 11.3472 - val_loss: 10.9849 - val_mae: 11.6536 - 196ms/epoch - 20ms/step\n","Epoch 88/125\n","10/10 - 0s - loss: 10.7743 - mae: 11.4321 - val_loss: 10.9537 - val_mae: 11.6167 - 256ms/epoch - 26ms/step\n","Epoch 89/125\n","10/10 - 0s - loss: 10.7326 - mae: 11.4016 - val_loss: 10.9450 - val_mae: 11.5982 - 254ms/epoch - 25ms/step\n","Epoch 90/125\n","10/10 - 0s - loss: 10.6968 - mae: 11.3674 - val_loss: 10.9408 - val_mae: 11.5938 - 274ms/epoch - 27ms/step\n","Epoch 91/125\n","10/10 - 0s - loss: 10.6901 - mae: 11.3605 - val_loss: 10.9940 - val_mae: 11.6596 - 204ms/epoch - 20ms/step\n","Epoch 92/125\n","10/10 - 0s - loss: 10.6567 - mae: 11.3260 - val_loss: 10.9455 - val_mae: 11.5976 - 206ms/epoch - 21ms/step\n","Epoch 93/125\n","10/10 - 0s - loss: 10.6328 - mae: 11.3040 - val_loss: 10.9461 - val_mae: 11.5978 - 129ms/epoch - 13ms/step\n","Epoch 94/125\n","10/10 - 0s - loss: 10.8569 - mae: 11.5251 - val_loss: 11.3530 - val_mae: 12.0300 - 143ms/epoch - 14ms/step\n","Epoch 95/125\n","10/10 - 0s - loss: 11.1702 - mae: 11.8410 - val_loss: 11.0915 - val_mae: 11.7638 - 132ms/epoch - 13ms/step\n","Epoch 96/125\n","10/10 - 0s - loss: 10.7330 - mae: 11.3968 - val_loss: 11.0055 - val_mae: 11.6764 - 139ms/epoch - 14ms/step\n","Epoch 97/125\n","10/10 - 0s - loss: 10.7568 - mae: 11.4282 - val_loss: 10.9213 - val_mae: 11.5711 - 165ms/epoch - 17ms/step\n","Epoch 98/125\n","10/10 - 0s - loss: 10.6982 - mae: 11.3742 - val_loss: 10.9046 - val_mae: 11.5543 - 184ms/epoch - 18ms/step\n","Epoch 99/125\n","10/10 - 0s - loss: 10.6699 - mae: 11.3276 - val_loss: 10.9012 - val_mae: 11.5642 - 164ms/epoch - 16ms/step\n","Epoch 100/125\n","10/10 - 0s - loss: 10.7371 - mae: 11.4024 - val_loss: 10.8940 - val_mae: 11.5464 - 178ms/epoch - 18ms/step\n","Epoch 101/125\n","10/10 - 0s - loss: 10.7064 - mae: 11.3744 - val_loss: 10.8984 - val_mae: 11.5550 - 128ms/epoch - 13ms/step\n","Epoch 102/125\n","10/10 - 0s - loss: 10.7124 - mae: 11.3761 - val_loss: 10.9291 - val_mae: 11.6012 - 127ms/epoch - 13ms/step\n","Epoch 103/125\n","10/10 - 0s - loss: 10.6659 - mae: 11.3385 - val_loss: 10.9007 - val_mae: 11.5506 - 136ms/epoch - 14ms/step\n","Epoch 104/125\n","10/10 - 0s - loss: 10.7051 - mae: 11.3818 - val_loss: 11.0297 - val_mae: 11.7008 - 129ms/epoch - 13ms/step\n","Epoch 105/125\n","10/10 - 0s - loss: 10.7094 - mae: 11.3697 - val_loss: 10.9376 - val_mae: 11.6079 - 112ms/epoch - 11ms/step\n","Epoch 106/125\n","10/10 - 0s - loss: 10.7874 - mae: 11.4574 - val_loss: 10.9828 - val_mae: 11.6521 - 117ms/epoch - 12ms/step\n","Epoch 107/125\n","10/10 - 0s - loss: 10.6456 - mae: 11.3166 - val_loss: 10.9437 - val_mae: 11.6037 - 142ms/epoch - 14ms/step\n","Epoch 108/125\n","10/10 - 0s - loss: 10.6735 - mae: 11.3371 - val_loss: 10.9873 - val_mae: 11.6578 - 116ms/epoch - 12ms/step\n","Epoch 109/125\n","10/10 - 0s - loss: 10.7057 - mae: 11.3768 - val_loss: 10.9857 - val_mae: 11.6512 - 113ms/epoch - 11ms/step\n","Epoch 110/125\n","10/10 - 0s - loss: 10.6781 - mae: 11.3378 - val_loss: 11.0812 - val_mae: 11.7576 - 135ms/epoch - 14ms/step\n","Epoch 111/125\n","10/10 - 0s - loss: 10.6800 - mae: 11.3526 - val_loss: 10.9428 - val_mae: 11.6043 - 120ms/epoch - 12ms/step\n","Epoch 112/125\n","10/10 - 0s - loss: 10.6004 - mae: 11.2684 - val_loss: 10.9263 - val_mae: 11.5952 - 120ms/epoch - 12ms/step\n","Epoch 113/125\n","10/10 - 0s - loss: 10.7021 - mae: 11.3737 - val_loss: 11.1068 - val_mae: 11.7767 - 127ms/epoch - 13ms/step\n","Epoch 114/125\n","10/10 - 0s - loss: 10.8058 - mae: 11.4609 - val_loss: 11.1316 - val_mae: 11.8119 - 126ms/epoch - 13ms/step\n","Epoch 115/125\n","10/10 - 0s - loss: 10.7065 - mae: 11.3755 - val_loss: 11.1536 - val_mae: 11.8225 - 151ms/epoch - 15ms/step\n","Epoch 116/125\n","10/10 - 0s - loss: 10.6610 - mae: 11.3298 - val_loss: 11.0337 - val_mae: 11.7102 - 125ms/epoch - 13ms/step\n","Epoch 117/125\n","10/10 - 0s - loss: 10.6659 - mae: 11.3332 - val_loss: 10.8740 - val_mae: 11.5156 - 178ms/epoch - 18ms/step\n","Epoch 118/125\n","10/10 - 0s - loss: 10.6535 - mae: 11.3266 - val_loss: 10.9277 - val_mae: 11.5919 - 135ms/epoch - 13ms/step\n","Epoch 119/125\n","10/10 - 0s - loss: 10.6570 - mae: 11.3272 - val_loss: 10.9030 - val_mae: 11.5566 - 128ms/epoch - 13ms/step\n","Epoch 120/125\n","10/10 - 0s - loss: 10.6197 - mae: 11.2871 - val_loss: 10.8712 - val_mae: 11.5213 - 156ms/epoch - 16ms/step\n","Epoch 121/125\n","10/10 - 0s - loss: 10.6627 - mae: 11.3330 - val_loss: 10.9119 - val_mae: 11.5770 - 124ms/epoch - 12ms/step\n","Epoch 122/125\n","10/10 - 0s - loss: 10.5785 - mae: 11.2509 - val_loss: 10.9542 - val_mae: 11.6230 - 142ms/epoch - 14ms/step\n","Epoch 123/125\n","10/10 - 0s - loss: 10.8472 - mae: 11.5158 - val_loss: 11.0225 - val_mae: 11.6982 - 127ms/epoch - 13ms/step\n","Epoch 124/125\n","10/10 - 0s - loss: 10.6987 - mae: 11.3651 - val_loss: 10.8756 - val_mae: 11.5230 - 124ms/epoch - 12ms/step\n","Epoch 125/125\n","10/10 - 0s - loss: 10.5871 - mae: 11.2607 - val_loss: 10.9104 - val_mae: 11.5738 - 138ms/epoch - 14ms/step\n","\n","\n","Training LSTM ============= with huber_loss\n","\n","Epoch 1/125\n","10/10 - 11s - loss: 56.3760 - mae: 56.8745 - val_loss: 23.0830 - val_mae: 23.5759 - 11s/epoch - 1s/step\n","Epoch 2/125\n","10/10 - 4s - loss: 16.3213 - mae: 16.8163 - val_loss: 19.3742 - val_mae: 19.8733 - 4s/epoch - 363ms/step\n","Epoch 3/125\n","10/10 - 3s - loss: 14.2989 - mae: 14.7880 - val_loss: 10.9511 - val_mae: 11.4345 - 3s/epoch - 334ms/step\n","Epoch 4/125\n","10/10 - 2s - loss: 12.6090 - mae: 13.1061 - val_loss: 11.9817 - val_mae: 12.4719 - 2s/epoch - 249ms/step\n","Epoch 5/125\n","10/10 - 3s - loss: 11.5869 - mae: 12.0794 - val_loss: 11.1986 - val_mae: 11.6882 - 3s/epoch - 253ms/step\n","Epoch 6/125\n","10/10 - 3s - loss: 11.5721 - mae: 12.0622 - val_loss: 10.9463 - val_mae: 11.4311 - 3s/epoch - 261ms/step\n","Epoch 7/125\n","10/10 - 4s - loss: 12.0337 - mae: 12.5243 - val_loss: 11.6740 - val_mae: 12.1608 - 4s/epoch - 366ms/step\n","Epoch 8/125\n","10/10 - 3s - loss: 11.3365 - mae: 11.8264 - val_loss: 11.2850 - val_mae: 11.7776 - 3s/epoch - 321ms/step\n","Epoch 9/125\n","10/10 - 3s - loss: 11.3715 - mae: 11.8621 - val_loss: 11.1397 - val_mae: 11.6192 - 3s/epoch - 251ms/step\n","Epoch 10/125\n","10/10 - 3s - loss: 11.1028 - mae: 11.5931 - val_loss: 11.2443 - val_mae: 11.7307 - 3s/epoch - 254ms/step\n","Epoch 11/125\n","10/10 - 3s - loss: 11.3773 - mae: 11.8685 - val_loss: 11.3189 - val_mae: 11.8069 - 3s/epoch - 255ms/step\n","Epoch 12/125\n","10/10 - 4s - loss: 11.2407 - mae: 11.7234 - val_loss: 11.4583 - val_mae: 11.9506 - 4s/epoch - 376ms/step\n","Epoch 13/125\n","10/10 - 3s - loss: 11.9525 - mae: 12.4415 - val_loss: 11.5639 - val_mae: 12.0564 - 3s/epoch - 290ms/step\n","Epoch 14/125\n","10/10 - 3s - loss: 11.4797 - mae: 11.9701 - val_loss: 11.0878 - val_mae: 11.5717 - 3s/epoch - 256ms/step\n","Epoch 15/125\n","10/10 - 3s - loss: 11.0097 - mae: 11.4978 - val_loss: 11.3128 - val_mae: 11.7895 - 3s/epoch - 254ms/step\n","Epoch 16/125\n","10/10 - 3s - loss: 10.8241 - mae: 11.3093 - val_loss: 11.2913 - val_mae: 11.7897 - 3s/epoch - 263ms/step\n","Epoch 17/125\n","10/10 - 4s - loss: 10.9808 - mae: 11.4727 - val_loss: 11.3329 - val_mae: 11.8293 - 4s/epoch - 403ms/step\n","Epoch 18/125\n","10/10 - 3s - loss: 11.2641 - mae: 11.7520 - val_loss: 11.2453 - val_mae: 11.7329 - 3s/epoch - 272ms/step\n","Epoch 19/125\n","10/10 - 2s - loss: 10.9275 - mae: 11.4220 - val_loss: 11.2317 - val_mae: 11.7265 - 2s/epoch - 249ms/step\n","Epoch 20/125\n","10/10 - 3s - loss: 10.8384 - mae: 11.3290 - val_loss: 11.2369 - val_mae: 11.7247 - 3s/epoch - 251ms/step\n","Epoch 21/125\n","10/10 - 3s - loss: 10.8863 - mae: 11.3784 - val_loss: 11.1750 - val_mae: 11.6749 - 3s/epoch - 258ms/step\n","Epoch 22/125\n","10/10 - 4s - loss: 11.2248 - mae: 11.7124 - val_loss: 12.6085 - val_mae: 13.0981 - 4s/epoch - 401ms/step\n","Epoch 23/125\n","10/10 - 3s - loss: 11.5792 - mae: 12.0687 - val_loss: 12.4246 - val_mae: 12.9169 - 3s/epoch - 272ms/step\n","Epoch 24/125\n","10/10 - 2s - loss: 10.9768 - mae: 11.4670 - val_loss: 11.6346 - val_mae: 12.1301 - 2s/epoch - 249ms/step\n","Epoch 25/125\n","10/10 - 3s - loss: 11.0069 - mae: 11.4987 - val_loss: 11.3244 - val_mae: 11.8209 - 3s/epoch - 252ms/step\n","Epoch 26/125\n","10/10 - 3s - loss: 10.5941 - mae: 11.0852 - val_loss: 10.9689 - val_mae: 11.4629 - 3s/epoch - 252ms/step\n","Epoch 27/125\n","10/10 - 4s - loss: 10.9826 - mae: 11.4728 - val_loss: 12.4322 - val_mae: 12.9232 - 4s/epoch - 426ms/step\n","Epoch 28/125\n","10/10 - 3s - loss: 11.7525 - mae: 12.2459 - val_loss: 11.4305 - val_mae: 11.9184 - 3s/epoch - 254ms/step\n","Epoch 29/125\n","10/10 - 3s - loss: 11.5740 - mae: 12.0594 - val_loss: 10.8847 - val_mae: 11.3581 - 3s/epoch - 262ms/step\n","Epoch 30/125\n","10/10 - 3s - loss: 10.6878 - mae: 11.1777 - val_loss: 11.0027 - val_mae: 11.5027 - 3s/epoch - 253ms/step\n","Epoch 31/125\n","10/10 - 3s - loss: 10.8254 - mae: 11.3143 - val_loss: 11.5810 - val_mae: 12.0672 - 3s/epoch - 268ms/step\n","Epoch 32/125\n","10/10 - 4s - loss: 10.2998 - mae: 10.7893 - val_loss: 11.1281 - val_mae: 11.6281 - 4s/epoch - 399ms/step\n","Epoch 33/125\n","10/10 - 3s - loss: 10.5763 - mae: 11.0629 - val_loss: 12.3023 - val_mae: 12.7952 - 3s/epoch - 254ms/step\n","Epoch 34/125\n","10/10 - 2s - loss: 11.3704 - mae: 11.8634 - val_loss: 12.1201 - val_mae: 12.6098 - 2s/epoch - 249ms/step\n","Epoch 35/125\n","10/10 - 3s - loss: 11.6035 - mae: 12.0937 - val_loss: 11.8021 - val_mae: 12.2944 - 3s/epoch - 255ms/step\n","Epoch 36/125\n","10/10 - 3s - loss: 11.0217 - mae: 11.5174 - val_loss: 11.4003 - val_mae: 11.8937 - 3s/epoch - 275ms/step\n","Epoch 37/125\n","10/10 - 4s - loss: 11.5141 - mae: 12.0045 - val_loss: 13.4971 - val_mae: 13.9837 - 4s/epoch - 394ms/step\n","Epoch 38/125\n","10/10 - 2s - loss: 11.3204 - mae: 11.8077 - val_loss: 14.1589 - val_mae: 14.6572 - 2s/epoch - 249ms/step\n","Epoch 39/125\n","10/10 - 3s - loss: 11.4997 - mae: 11.9824 - val_loss: 12.1124 - val_mae: 12.6033 - 3s/epoch - 256ms/step\n","Epoch 40/125\n","10/10 - 3s - loss: 11.6414 - mae: 12.1274 - val_loss: 10.6857 - val_mae: 11.1793 - 3s/epoch - 262ms/step\n","Epoch 41/125\n","10/10 - 3s - loss: 10.5445 - mae: 11.0316 - val_loss: 10.7787 - val_mae: 11.2633 - 3s/epoch - 294ms/step\n","Epoch 42/125\n","10/10 - 4s - loss: 11.1024 - mae: 11.5944 - val_loss: 10.9703 - val_mae: 11.4664 - 4s/epoch - 379ms/step\n","Epoch 43/125\n","10/10 - 3s - loss: 10.2821 - mae: 10.7675 - val_loss: 10.4317 - val_mae: 10.9294 - 3s/epoch - 264ms/step\n","Epoch 44/125\n","10/10 - 3s - loss: 9.9229 - mae: 10.4112 - val_loss: 10.4223 - val_mae: 10.9088 - 3s/epoch - 261ms/step\n","Epoch 45/125\n","10/10 - 3s - loss: 10.1650 - mae: 10.6544 - val_loss: 10.5877 - val_mae: 11.0869 - 3s/epoch - 257ms/step\n","Epoch 46/125\n","10/10 - 3s - loss: 9.9872 - mae: 10.4745 - val_loss: 11.4824 - val_mae: 11.9824 - 3s/epoch - 320ms/step\n","Epoch 47/125\n","10/10 - 4s - loss: 10.0632 - mae: 10.5563 - val_loss: 13.1790 - val_mae: 13.6636 - 4s/epoch - 352ms/step\n","Epoch 48/125\n","10/10 - 3s - loss: 11.0952 - mae: 11.5896 - val_loss: 10.5955 - val_mae: 11.0843 - 3s/epoch - 255ms/step\n","Epoch 49/125\n","10/10 - 3s - loss: 10.4795 - mae: 10.9616 - val_loss: 9.9253 - val_mae: 10.4011 - 3s/epoch - 258ms/step\n","Epoch 50/125\n","10/10 - 2s - loss: 10.2000 - mae: 10.6868 - val_loss: 10.0455 - val_mae: 10.5364 - 2s/epoch - 250ms/step\n","Epoch 51/125\n","10/10 - 3s - loss: 10.0013 - mae: 10.4887 - val_loss: 10.4840 - val_mae: 10.9787 - 3s/epoch - 312ms/step\n","Epoch 52/125\n","10/10 - 4s - loss: 9.7142 - mae: 10.1974 - val_loss: 10.0983 - val_mae: 10.5890 - 4s/epoch - 357ms/step\n","Epoch 53/125\n","10/10 - 3s - loss: 9.6389 - mae: 10.1251 - val_loss: 9.8153 - val_mae: 10.3030 - 3s/epoch - 259ms/step\n","Epoch 54/125\n","10/10 - 3s - loss: 9.3903 - mae: 9.8712 - val_loss: 10.0101 - val_mae: 10.4915 - 3s/epoch - 254ms/step\n","Epoch 55/125\n","10/10 - 3s - loss: 9.2512 - mae: 9.7329 - val_loss: 9.7717 - val_mae: 10.2602 - 3s/epoch - 256ms/step\n","Epoch 56/125\n","10/10 - 3s - loss: 9.4454 - mae: 9.9287 - val_loss: 10.0216 - val_mae: 10.5194 - 3s/epoch - 328ms/step\n","Epoch 57/125\n","10/10 - 3s - loss: 9.1574 - mae: 9.6349 - val_loss: 10.0090 - val_mae: 10.4956 - 3s/epoch - 345ms/step\n","Epoch 58/125\n","10/10 - 2s - loss: 9.5799 - mae: 10.0623 - val_loss: 11.8336 - val_mae: 12.3332 - 2s/epoch - 249ms/step\n","Epoch 59/125\n","10/10 - 3s - loss: 9.6754 - mae: 10.1631 - val_loss: 11.1996 - val_mae: 11.6926 - 3s/epoch - 250ms/step\n","Epoch 60/125\n","10/10 - 2s - loss: 9.4013 - mae: 9.8914 - val_loss: 10.0220 - val_mae: 10.5113 - 2s/epoch - 246ms/step\n","Epoch 61/125\n","10/10 - 3s - loss: 9.1578 - mae: 9.6387 - val_loss: 10.0833 - val_mae: 10.5592 - 3s/epoch - 324ms/step\n","Epoch 62/125\n","10/10 - 3s - loss: 8.8605 - mae: 9.3406 - val_loss: 9.8778 - val_mae: 10.3589 - 3s/epoch - 338ms/step\n","Epoch 63/125\n","10/10 - 3s - loss: 9.4565 - mae: 9.9464 - val_loss: 10.7955 - val_mae: 11.2916 - 3s/epoch - 254ms/step\n","Epoch 64/125\n","10/10 - 3s - loss: 9.0422 - mae: 9.5275 - val_loss: 9.4964 - val_mae: 9.9878 - 3s/epoch - 258ms/step\n","Epoch 65/125\n","10/10 - 3s - loss: 8.7364 - mae: 9.2204 - val_loss: 9.3916 - val_mae: 9.8740 - 3s/epoch - 256ms/step\n","Epoch 66/125\n","10/10 - 3s - loss: 8.6584 - mae: 9.1377 - val_loss: 10.4392 - val_mae: 10.9266 - 3s/epoch - 338ms/step\n","Epoch 67/125\n","10/10 - 3s - loss: 8.9822 - mae: 9.4621 - val_loss: 9.8832 - val_mae: 10.3667 - 3s/epoch - 346ms/step\n","Epoch 68/125\n","10/10 - 3s - loss: 9.3809 - mae: 9.8691 - val_loss: 10.7941 - val_mae: 11.2758 - 3s/epoch - 259ms/step\n","Epoch 69/125\n","10/10 - 3s - loss: 9.2526 - mae: 9.7380 - val_loss: 10.6683 - val_mae: 11.1680 - 3s/epoch - 256ms/step\n","Epoch 70/125\n","10/10 - 3s - loss: 9.8306 - mae: 10.3175 - val_loss: 10.0160 - val_mae: 10.5069 - 3s/epoch - 252ms/step\n","Epoch 71/125\n","10/10 - 3s - loss: 8.4612 - mae: 8.9432 - val_loss: 11.7296 - val_mae: 12.2246 - 3s/epoch - 342ms/step\n","Epoch 72/125\n","10/10 - 3s - loss: 8.2357 - mae: 8.7193 - val_loss: 9.7017 - val_mae: 10.1913 - 3s/epoch - 325ms/step\n","Epoch 73/125\n","10/10 - 3s - loss: 8.1034 - mae: 8.5776 - val_loss: 9.5475 - val_mae: 10.0318 - 3s/epoch - 253ms/step\n","Epoch 74/125\n","10/10 - 3s - loss: 7.9948 - mae: 8.4747 - val_loss: 11.0865 - val_mae: 11.5726 - 3s/epoch - 259ms/step\n","Epoch 75/125\n","10/10 - 3s - loss: 7.7443 - mae: 8.2217 - val_loss: 10.0405 - val_mae: 10.5282 - 3s/epoch - 262ms/step\n","Epoch 76/125\n","10/10 - 4s - loss: 7.2328 - mae: 7.7030 - val_loss: 9.4949 - val_mae: 9.9775 - 4s/epoch - 377ms/step\n","Epoch 77/125\n","10/10 - 3s - loss: 7.3788 - mae: 7.8593 - val_loss: 9.3525 - val_mae: 9.8359 - 3s/epoch - 312ms/step\n","Epoch 78/125\n","10/10 - 3s - loss: 7.8712 - mae: 8.3572 - val_loss: 10.2689 - val_mae: 10.7628 - 3s/epoch - 252ms/step\n","Epoch 79/125\n","10/10 - 2s - loss: 7.3999 - mae: 7.8831 - val_loss: 10.1383 - val_mae: 10.6258 - 2s/epoch - 246ms/step\n","Epoch 80/125\n","10/10 - 3s - loss: 7.1199 - mae: 7.5969 - val_loss: 9.8839 - val_mae: 10.3738 - 3s/epoch - 252ms/step\n","Epoch 81/125\n","10/10 - 4s - loss: 7.5312 - mae: 7.9996 - val_loss: 9.5426 - val_mae: 10.0220 - 4s/epoch - 367ms/step\n","Epoch 82/125\n","10/10 - 3s - loss: 8.4135 - mae: 8.9007 - val_loss: 9.8874 - val_mae: 10.3757 - 3s/epoch - 303ms/step\n","Epoch 83/125\n","10/10 - 3s - loss: 7.0525 - mae: 7.5340 - val_loss: 9.5241 - val_mae: 10.0137 - 3s/epoch - 251ms/step\n","Epoch 84/125\n","10/10 - 3s - loss: 7.4011 - mae: 7.8754 - val_loss: 9.6738 - val_mae: 10.1496 - 3s/epoch - 251ms/step\n","Epoch 85/125\n","10/10 - 3s - loss: 7.1026 - mae: 7.5787 - val_loss: 9.8453 - val_mae: 10.3300 - 3s/epoch - 255ms/step\n","Epoch 86/125\n","10/10 - 4s - loss: 7.1290 - mae: 7.6041 - val_loss: 9.4582 - val_mae: 9.9431 - 4s/epoch - 389ms/step\n","Epoch 87/125\n","10/10 - 3s - loss: 6.5273 - mae: 6.9951 - val_loss: 11.2914 - val_mae: 11.7846 - 3s/epoch - 294ms/step\n","Epoch 88/125\n","10/10 - 3s - loss: 6.9915 - mae: 7.4748 - val_loss: 9.5868 - val_mae: 10.0735 - 3s/epoch - 253ms/step\n","Epoch 89/125\n","10/10 - 3s - loss: 6.3772 - mae: 6.8532 - val_loss: 9.6447 - val_mae: 10.1381 - 3s/epoch - 255ms/step\n","Epoch 90/125\n","10/10 - 2s - loss: 7.0668 - mae: 7.5424 - val_loss: 10.4361 - val_mae: 10.9301 - 2s/epoch - 247ms/step\n","Epoch 91/125\n","10/10 - 4s - loss: 7.4159 - mae: 7.8930 - val_loss: 11.3984 - val_mae: 11.8929 - 4s/epoch - 406ms/step\n","Epoch 92/125\n","10/10 - 3s - loss: 6.5292 - mae: 7.0056 - val_loss: 9.4838 - val_mae: 9.9710 - 3s/epoch - 265ms/step\n","Epoch 93/125\n","10/10 - 3s - loss: 6.1523 - mae: 6.6235 - val_loss: 9.7314 - val_mae: 10.2286 - 3s/epoch - 251ms/step\n","Epoch 94/125\n","10/10 - 3s - loss: 6.2410 - mae: 6.7158 - val_loss: 9.7828 - val_mae: 10.2746 - 3s/epoch - 258ms/step\n","Epoch 95/125\n","10/10 - 3s - loss: 6.1248 - mae: 6.5978 - val_loss: 10.2173 - val_mae: 10.7172 - 3s/epoch - 255ms/step\n","Epoch 96/125\n","10/10 - 4s - loss: 5.8517 - mae: 6.3265 - val_loss: 9.5564 - val_mae: 10.0336 - 4s/epoch - 393ms/step\n","Epoch 97/125\n","10/10 - 3s - loss: 5.6699 - mae: 6.1401 - val_loss: 9.8128 - val_mae: 10.3065 - 3s/epoch - 269ms/step\n","Epoch 98/125\n","10/10 - 3s - loss: 5.7725 - mae: 6.2429 - val_loss: 9.3411 - val_mae: 9.8053 - 3s/epoch - 253ms/step\n","Epoch 99/125\n","10/10 - 3s - loss: 6.0180 - mae: 6.4773 - val_loss: 10.6640 - val_mae: 11.1480 - 3s/epoch - 251ms/step\n","Epoch 100/125\n","10/10 - 3s - loss: 6.1813 - mae: 6.6607 - val_loss: 9.4266 - val_mae: 9.9005 - 3s/epoch - 251ms/step\n","Epoch 101/125\n","10/10 - 4s - loss: 5.9730 - mae: 6.4478 - val_loss: 10.6721 - val_mae: 11.1536 - 4s/epoch - 397ms/step\n","Epoch 102/125\n","10/10 - 3s - loss: 5.7144 - mae: 6.1891 - val_loss: 9.5403 - val_mae: 10.0127 - 3s/epoch - 268ms/step\n","Epoch 103/125\n","10/10 - 2s - loss: 5.9642 - mae: 6.4388 - val_loss: 10.2581 - val_mae: 10.7420 - 2s/epoch - 250ms/step\n","Epoch 104/125\n","10/10 - 2s - loss: 6.4439 - mae: 6.9261 - val_loss: 12.2737 - val_mae: 12.7628 - 2s/epoch - 249ms/step\n","Epoch 105/125\n","10/10 - 3s - loss: 6.9364 - mae: 7.4141 - val_loss: 10.0567 - val_mae: 10.5444 - 3s/epoch - 251ms/step\n","Epoch 106/125\n","10/10 - 4s - loss: 6.3646 - mae: 6.8363 - val_loss: 9.9243 - val_mae: 10.3931 - 4s/epoch - 408ms/step\n","Epoch 107/125\n","10/10 - 3s - loss: 6.3305 - mae: 6.8057 - val_loss: 10.5388 - val_mae: 11.0386 - 3s/epoch - 265ms/step\n","Epoch 108/125\n","10/10 - 3s - loss: 5.3387 - mae: 5.8079 - val_loss: 10.1083 - val_mae: 10.6045 - 3s/epoch - 257ms/step\n","Epoch 109/125\n","10/10 - 3s - loss: 5.5641 - mae: 6.0360 - val_loss: 10.8035 - val_mae: 11.2983 - 3s/epoch - 251ms/step\n","Epoch 110/125\n","10/10 - 3s - loss: 5.1907 - mae: 5.6567 - val_loss: 10.2344 - val_mae: 10.7291 - 3s/epoch - 264ms/step\n","Epoch 111/125\n","10/10 - 4s - loss: 5.4902 - mae: 5.9623 - val_loss: 9.9934 - val_mae: 10.4795 - 4s/epoch - 416ms/step\n","Epoch 112/125\n","10/10 - 3s - loss: 5.4629 - mae: 5.9419 - val_loss: 10.6060 - val_mae: 11.1021 - 3s/epoch - 255ms/step\n","Epoch 113/125\n","10/10 - 3s - loss: 5.1942 - mae: 5.6713 - val_loss: 9.6725 - val_mae: 10.1675 - 3s/epoch - 261ms/step\n","Epoch 114/125\n","10/10 - 2s - loss: 4.5805 - mae: 5.0473 - val_loss: 9.9647 - val_mae: 10.4603 - 2s/epoch - 247ms/step\n","Epoch 115/125\n","10/10 - 3s - loss: 4.5435 - mae: 5.0068 - val_loss: 9.7959 - val_mae: 10.2753 - 3s/epoch - 256ms/step\n","Epoch 116/125\n","10/10 - 4s - loss: 4.4494 - mae: 4.9081 - val_loss: 9.4679 - val_mae: 9.9425 - 4s/epoch - 410ms/step\n","Epoch 117/125\n","10/10 - 3s - loss: 4.5919 - mae: 5.0569 - val_loss: 10.7741 - val_mae: 11.2735 - 3s/epoch - 261ms/step\n","Epoch 118/125\n","10/10 - 2s - loss: 4.7006 - mae: 5.1665 - val_loss: 9.8969 - val_mae: 10.3719 - 2s/epoch - 246ms/step\n","Epoch 119/125\n","10/10 - 3s - loss: 5.0784 - mae: 5.5543 - val_loss: 11.1252 - val_mae: 11.6081 - 3s/epoch - 250ms/step\n","Epoch 120/125\n","10/10 - 3s - loss: 5.5304 - mae: 5.9988 - val_loss: 10.0320 - val_mae: 10.5258 - 3s/epoch - 273ms/step\n","Epoch 121/125\n","10/10 - 4s - loss: 4.9787 - mae: 5.4545 - val_loss: 9.6664 - val_mae: 10.1412 - 4s/epoch - 410ms/step\n","Epoch 122/125\n","10/10 - 2s - loss: 4.7853 - mae: 5.2562 - val_loss: 9.9041 - val_mae: 10.3831 - 2s/epoch - 247ms/step\n","Epoch 123/125\n","10/10 - 3s - loss: 4.6275 - mae: 5.0968 - val_loss: 10.3538 - val_mae: 10.8450 - 3s/epoch - 252ms/step\n","Epoch 124/125\n","10/10 - 3s - loss: 4.8200 - mae: 5.2849 - val_loss: 9.7458 - val_mae: 10.2317 - 3s/epoch - 261ms/step\n","Epoch 125/125\n","10/10 - 3s - loss: 4.3848 - mae: 4.8541 - val_loss: 10.3914 - val_mae: 10.8871 - 3s/epoch - 266ms/step\n","\n","\n","Training LSTM ============= with mean_squared_error\n","\n","Epoch 1/125\n","10/10 - 12s - loss: 3917.7583 - mae: 57.3025 - val_loss: 1008.0082 - val_mae: 28.4130 - 12s/epoch - 1s/step\n","Epoch 2/125\n","10/10 - 3s - loss: 653.7339 - mae: 21.2212 - val_loss: 228.3035 - val_mae: 11.4137 - 3s/epoch - 266ms/step\n","Epoch 3/125\n","10/10 - 3s - loss: 375.2772 - mae: 15.6835 - val_loss: 291.4857 - val_mae: 13.2314 - 3s/epoch - 261ms/step\n","Epoch 4/125\n","10/10 - 4s - loss: 301.8174 - mae: 13.5222 - val_loss: 263.0732 - val_mae: 12.8476 - 4s/epoch - 434ms/step\n","Epoch 5/125\n","10/10 - 3s - loss: 244.9065 - mae: 12.0928 - val_loss: 225.6009 - val_mae: 11.4378 - 3s/epoch - 272ms/step\n","Epoch 6/125\n","10/10 - 3s - loss: 247.3873 - mae: 12.0874 - val_loss: 225.1355 - val_mae: 11.4201 - 3s/epoch - 262ms/step\n","Epoch 7/125\n","10/10 - 3s - loss: 242.4169 - mae: 11.8300 - val_loss: 239.4515 - val_mae: 11.9863 - 3s/epoch - 256ms/step\n","Epoch 8/125\n","10/10 - 3s - loss: 237.4686 - mae: 11.8938 - val_loss: 226.6993 - val_mae: 11.4918 - 3s/epoch - 277ms/step\n","Epoch 9/125\n","10/10 - 4s - loss: 241.5699 - mae: 11.9548 - val_loss: 224.8341 - val_mae: 11.3692 - 4s/epoch - 396ms/step\n","Epoch 10/125\n","10/10 - 2s - loss: 238.8619 - mae: 11.8653 - val_loss: 232.1039 - val_mae: 11.6945 - 2s/epoch - 247ms/step\n","Epoch 11/125\n","10/10 - 3s - loss: 237.5445 - mae: 11.9160 - val_loss: 224.6452 - val_mae: 11.4036 - 3s/epoch - 254ms/step\n","Epoch 12/125\n","10/10 - 3s - loss: 238.9660 - mae: 11.8789 - val_loss: 226.1355 - val_mae: 11.4916 - 3s/epoch - 252ms/step\n","Epoch 13/125\n","10/10 - 3s - loss: 237.3807 - mae: 11.9532 - val_loss: 237.9261 - val_mae: 11.9155 - 3s/epoch - 276ms/step\n","Epoch 14/125\n","10/10 - 4s - loss: 239.3904 - mae: 11.9647 - val_loss: 231.9220 - val_mae: 11.6797 - 4s/epoch - 393ms/step\n","Epoch 15/125\n","10/10 - 3s - loss: 247.2633 - mae: 12.2929 - val_loss: 251.5606 - val_mae: 12.4327 - 3s/epoch - 252ms/step\n","Epoch 16/125\n","10/10 - 3s - loss: 248.3959 - mae: 12.1749 - val_loss: 241.2539 - val_mae: 12.0509 - 3s/epoch - 258ms/step\n","Epoch 17/125\n","10/10 - 3s - loss: 240.9468 - mae: 11.8443 - val_loss: 231.2057 - val_mae: 11.6537 - 3s/epoch - 251ms/step\n","Epoch 18/125\n","10/10 - 3s - loss: 232.8981 - mae: 11.7775 - val_loss: 224.4822 - val_mae: 11.4883 - 3s/epoch - 288ms/step\n","Epoch 19/125\n","10/10 - 4s - loss: 230.4618 - mae: 11.5113 - val_loss: 237.8392 - val_mae: 11.9271 - 4s/epoch - 380ms/step\n","Epoch 20/125\n","10/10 - 3s - loss: 232.2780 - mae: 11.6458 - val_loss: 224.1668 - val_mae: 11.5461 - 3s/epoch - 256ms/step\n","Epoch 21/125\n","10/10 - 2s - loss: 229.4676 - mae: 11.5310 - val_loss: 230.5952 - val_mae: 11.6917 - 2s/epoch - 248ms/step\n","Epoch 22/125\n","10/10 - 3s - loss: 229.3987 - mae: 11.4607 - val_loss: 222.4468 - val_mae: 11.5225 - 3s/epoch - 260ms/step\n","Epoch 23/125\n","10/10 - 3s - loss: 225.6100 - mae: 11.4335 - val_loss: 221.9845 - val_mae: 11.5112 - 3s/epoch - 303ms/step\n","Epoch 24/125\n","10/10 - 4s - loss: 226.0074 - mae: 11.4192 - val_loss: 223.3114 - val_mae: 11.5765 - 4s/epoch - 371ms/step\n","Epoch 25/125\n","10/10 - 3s - loss: 223.5305 - mae: 11.2629 - val_loss: 220.9914 - val_mae: 11.5416 - 3s/epoch - 261ms/step\n","Epoch 26/125\n","10/10 - 3s - loss: 227.0608 - mae: 11.5822 - val_loss: 223.1389 - val_mae: 11.4651 - 3s/epoch - 259ms/step\n","Epoch 27/125\n","10/10 - 2s - loss: 236.7628 - mae: 11.6475 - val_loss: 234.2037 - val_mae: 11.8049 - 2s/epoch - 247ms/step\n","Epoch 28/125\n","10/10 - 3s - loss: 231.6170 - mae: 11.7896 - val_loss: 293.2074 - val_mae: 13.3419 - 3s/epoch - 322ms/step\n","Epoch 29/125\n","10/10 - 4s - loss: 261.7433 - mae: 12.3482 - val_loss: 224.9861 - val_mae: 11.5052 - 4s/epoch - 353ms/step\n","Epoch 30/125\n","10/10 - 3s - loss: 240.7385 - mae: 11.6637 - val_loss: 217.3954 - val_mae: 11.2823 - 3s/epoch - 254ms/step\n","Epoch 31/125\n","10/10 - 3s - loss: 228.6485 - mae: 11.5509 - val_loss: 243.7240 - val_mae: 12.2849 - 3s/epoch - 250ms/step\n","Epoch 32/125\n","10/10 - 3s - loss: 230.1467 - mae: 11.4910 - val_loss: 224.5514 - val_mae: 11.5382 - 3s/epoch - 257ms/step\n","Epoch 33/125\n","10/10 - 3s - loss: 223.2457 - mae: 11.3435 - val_loss: 221.6638 - val_mae: 11.4131 - 3s/epoch - 330ms/step\n","Epoch 34/125\n","10/10 - 3s - loss: 219.3366 - mae: 11.1200 - val_loss: 216.9999 - val_mae: 11.2667 - 3s/epoch - 347ms/step\n","Epoch 35/125\n","10/10 - 3s - loss: 220.3400 - mae: 11.2777 - val_loss: 213.6012 - val_mae: 11.2236 - 3s/epoch - 259ms/step\n","Epoch 36/125\n","10/10 - 3s - loss: 222.4053 - mae: 11.1382 - val_loss: 218.6193 - val_mae: 11.2915 - 3s/epoch - 252ms/step\n","Epoch 37/125\n","10/10 - 3s - loss: 217.5965 - mae: 11.0501 - val_loss: 210.4465 - val_mae: 11.1862 - 3s/epoch - 268ms/step\n","Epoch 38/125\n","10/10 - 4s - loss: 208.4501 - mae: 10.7260 - val_loss: 248.5566 - val_mae: 12.2680 - 4s/epoch - 374ms/step\n","Epoch 39/125\n","10/10 - 3s - loss: 221.0987 - mae: 11.1158 - val_loss: 213.2565 - val_mae: 11.1307 - 3s/epoch - 311ms/step\n","Epoch 40/125\n","10/10 - 3s - loss: 220.2762 - mae: 11.1001 - val_loss: 216.0764 - val_mae: 11.2285 - 3s/epoch - 253ms/step\n","Epoch 41/125\n","10/10 - 3s - loss: 238.5596 - mae: 11.3993 - val_loss: 210.1026 - val_mae: 10.9752 - 3s/epoch - 260ms/step\n","Epoch 42/125\n","10/10 - 3s - loss: 225.3752 - mae: 11.3700 - val_loss: 239.8848 - val_mae: 12.1710 - 3s/epoch - 255ms/step\n","Epoch 43/125\n","10/10 - 4s - loss: 257.2220 - mae: 12.1447 - val_loss: 241.6667 - val_mae: 12.0890 - 4s/epoch - 365ms/step\n","Epoch 44/125\n","10/10 - 3s - loss: 209.0173 - mae: 10.8807 - val_loss: 203.2041 - val_mae: 10.7751 - 3s/epoch - 317ms/step\n","Epoch 45/125\n","10/10 - 3s - loss: 212.1620 - mae: 10.6714 - val_loss: 202.2361 - val_mae: 10.6501 - 3s/epoch - 268ms/step\n","Epoch 46/125\n","10/10 - 3s - loss: 221.7166 - mae: 11.0709 - val_loss: 218.6278 - val_mae: 11.1939 - 3s/epoch - 253ms/step\n","Epoch 47/125\n","10/10 - 3s - loss: 230.1044 - mae: 11.3884 - val_loss: 197.1915 - val_mae: 10.3580 - 3s/epoch - 261ms/step\n","Epoch 48/125\n","10/10 - 4s - loss: 221.9105 - mae: 11.2869 - val_loss: 219.0466 - val_mae: 11.3962 - 4s/epoch - 392ms/step\n","Epoch 49/125\n","10/10 - 3s - loss: 229.3459 - mae: 11.4872 - val_loss: 206.3681 - val_mae: 10.9060 - 3s/epoch - 276ms/step\n","Epoch 50/125\n","10/10 - 3s - loss: 204.8248 - mae: 10.7280 - val_loss: 229.1968 - val_mae: 11.7306 - 3s/epoch - 255ms/step\n","Epoch 51/125\n","10/10 - 3s - loss: 203.1416 - mae: 10.5665 - val_loss: 208.3119 - val_mae: 10.8620 - 3s/epoch - 260ms/step\n","Epoch 52/125\n","10/10 - 2s - loss: 211.4701 - mae: 10.7001 - val_loss: 206.0949 - val_mae: 10.7618 - 2s/epoch - 250ms/step\n","Epoch 53/125\n","10/10 - 4s - loss: 219.8824 - mae: 11.1936 - val_loss: 214.6379 - val_mae: 11.3131 - 4s/epoch - 391ms/step\n","Epoch 54/125\n","10/10 - 3s - loss: 219.1898 - mae: 11.0935 - val_loss: 244.2068 - val_mae: 12.3055 - 3s/epoch - 283ms/step\n","Epoch 55/125\n","10/10 - 3s - loss: 201.7471 - mae: 10.7805 - val_loss: 206.0672 - val_mae: 10.7443 - 3s/epoch - 255ms/step\n","Epoch 56/125\n","10/10 - 3s - loss: 206.6552 - mae: 10.6633 - val_loss: 220.8003 - val_mae: 11.3052 - 3s/epoch - 255ms/step\n","Epoch 57/125\n","10/10 - 2s - loss: 225.0343 - mae: 11.2373 - val_loss: 214.5655 - val_mae: 11.4032 - 2s/epoch - 249ms/step\n","Epoch 58/125\n","10/10 - 4s - loss: 227.4508 - mae: 11.3386 - val_loss: 229.9639 - val_mae: 11.6740 - 4s/epoch - 410ms/step\n","Epoch 59/125\n","10/10 - 3s - loss: 225.9355 - mae: 11.2897 - val_loss: 220.3414 - val_mae: 11.4429 - 3s/epoch - 267ms/step\n","Epoch 60/125\n","10/10 - 3s - loss: 232.0337 - mae: 11.5425 - val_loss: 264.7067 - val_mae: 12.7507 - 3s/epoch - 251ms/step\n","Epoch 61/125\n","10/10 - 3s - loss: 273.8690 - mae: 12.7594 - val_loss: 281.6929 - val_mae: 13.2287 - 3s/epoch - 256ms/step\n","Epoch 62/125\n","10/10 - 3s - loss: 244.0648 - mae: 11.7458 - val_loss: 238.1650 - val_mae: 12.0636 - 3s/epoch - 259ms/step\n","Epoch 63/125\n","10/10 - 4s - loss: 226.8068 - mae: 11.4402 - val_loss: 214.9287 - val_mae: 11.3246 - 4s/epoch - 426ms/step\n","Epoch 64/125\n","10/10 - 3s - loss: 216.6506 - mae: 11.0529 - val_loss: 213.9999 - val_mae: 11.2212 - 3s/epoch - 251ms/step\n","Epoch 65/125\n","10/10 - 3s - loss: 212.1990 - mae: 10.8781 - val_loss: 238.3394 - val_mae: 12.0283 - 3s/epoch - 260ms/step\n","Epoch 66/125\n","10/10 - 3s - loss: 220.9442 - mae: 11.1881 - val_loss: 222.8122 - val_mae: 11.6356 - 3s/epoch - 260ms/step\n","Epoch 67/125\n","10/10 - 3s - loss: 224.1955 - mae: 11.5839 - val_loss: 211.4057 - val_mae: 11.1744 - 3s/epoch - 278ms/step\n","Epoch 68/125\n","10/10 - 4s - loss: 215.4726 - mae: 11.2380 - val_loss: 226.6667 - val_mae: 11.6240 - 4s/epoch - 395ms/step\n","Epoch 69/125\n","10/10 - 3s - loss: 216.2132 - mae: 11.0204 - val_loss: 248.2156 - val_mae: 12.2655 - 3s/epoch - 253ms/step\n","Epoch 70/125\n","10/10 - 3s - loss: 228.4478 - mae: 11.3919 - val_loss: 208.3503 - val_mae: 11.1715 - 3s/epoch - 252ms/step\n","Epoch 71/125\n","10/10 - 3s - loss: 215.0767 - mae: 10.9095 - val_loss: 224.9839 - val_mae: 11.5294 - 3s/epoch - 254ms/step\n","Epoch 72/125\n","10/10 - 3s - loss: 198.6406 - mae: 10.4700 - val_loss: 210.6716 - val_mae: 11.0335 - 3s/epoch - 284ms/step\n","Epoch 73/125\n","10/10 - 4s - loss: 193.3715 - mae: 10.2613 - val_loss: 210.1858 - val_mae: 10.9431 - 4s/epoch - 387ms/step\n","Epoch 74/125\n","10/10 - 3s - loss: 184.8396 - mae: 9.9896 - val_loss: 208.1669 - val_mae: 11.0773 - 3s/epoch - 252ms/step\n","Epoch 75/125\n","10/10 - 2s - loss: 187.8015 - mae: 10.0574 - val_loss: 207.7771 - val_mae: 10.9653 - 2s/epoch - 248ms/step\n","Epoch 76/125\n","10/10 - 3s - loss: 186.3122 - mae: 9.9670 - val_loss: 225.7306 - val_mae: 11.3552 - 3s/epoch - 253ms/step\n","Epoch 77/125\n","10/10 - 3s - loss: 184.3917 - mae: 10.1468 - val_loss: 209.2528 - val_mae: 10.8969 - 3s/epoch - 293ms/step\n","Epoch 78/125\n","10/10 - 4s - loss: 187.0580 - mae: 10.0621 - val_loss: 214.9265 - val_mae: 11.0990 - 4s/epoch - 380ms/step\n","Epoch 79/125\n","10/10 - 2s - loss: 178.9874 - mae: 9.6857 - val_loss: 206.7617 - val_mae: 10.9012 - 2s/epoch - 248ms/step\n","Epoch 80/125\n","10/10 - 3s - loss: 176.4696 - mae: 9.7690 - val_loss: 218.0449 - val_mae: 11.1980 - 3s/epoch - 258ms/step\n","Epoch 81/125\n","10/10 - 3s - loss: 193.3288 - mae: 10.2537 - val_loss: 255.0466 - val_mae: 12.1995 - 3s/epoch - 255ms/step\n","Epoch 82/125\n","10/10 - 3s - loss: 214.9453 - mae: 11.1423 - val_loss: 283.6141 - val_mae: 12.9008 - 3s/epoch - 307ms/step\n","Epoch 83/125\n","10/10 - 4s - loss: 206.8707 - mae: 11.0300 - val_loss: 249.2049 - val_mae: 12.0428 - 4s/epoch - 367ms/step\n","Epoch 84/125\n","10/10 - 3s - loss: 193.2708 - mae: 10.2998 - val_loss: 234.8449 - val_mae: 11.3831 - 3s/epoch - 256ms/step\n","Epoch 85/125\n","10/10 - 3s - loss: 185.0126 - mae: 10.0548 - val_loss: 213.1303 - val_mae: 10.8635 - 3s/epoch - 253ms/step\n","Epoch 86/125\n","10/10 - 3s - loss: 182.9231 - mae: 10.1007 - val_loss: 205.8011 - val_mae: 10.6938 - 3s/epoch - 250ms/step\n","Epoch 87/125\n","10/10 - 3s - loss: 186.8310 - mae: 9.9959 - val_loss: 211.7181 - val_mae: 10.9296 - 3s/epoch - 314ms/step\n","Epoch 88/125\n","10/10 - 4s - loss: 174.3032 - mae: 9.6004 - val_loss: 220.1704 - val_mae: 11.1522 - 4s/epoch - 365ms/step\n","Epoch 89/125\n","10/10 - 3s - loss: 169.3322 - mae: 9.5098 - val_loss: 226.5825 - val_mae: 11.3464 - 3s/epoch - 254ms/step\n","Epoch 90/125\n","10/10 - 3s - loss: 172.5191 - mae: 9.7413 - val_loss: 222.0834 - val_mae: 11.1131 - 3s/epoch - 256ms/step\n","Epoch 91/125\n","10/10 - 3s - loss: 174.5000 - mae: 9.7206 - val_loss: 225.0464 - val_mae: 10.9659 - 3s/epoch - 254ms/step\n","Epoch 92/125\n","10/10 - 3s - loss: 170.0553 - mae: 9.5830 - val_loss: 234.2428 - val_mae: 11.4414 - 3s/epoch - 339ms/step\n","Epoch 93/125\n","10/10 - 3s - loss: 163.8889 - mae: 9.2602 - val_loss: 235.2589 - val_mae: 11.1987 - 3s/epoch - 333ms/step\n","Epoch 94/125\n","10/10 - 3s - loss: 167.1252 - mae: 9.4177 - val_loss: 235.4255 - val_mae: 11.2160 - 3s/epoch - 255ms/step\n","Epoch 95/125\n","10/10 - 3s - loss: 160.9383 - mae: 9.2423 - val_loss: 242.6495 - val_mae: 11.2896 - 3s/epoch - 256ms/step\n","Epoch 96/125\n","10/10 - 3s - loss: 165.2638 - mae: 9.3762 - val_loss: 229.6421 - val_mae: 11.0893 - 3s/epoch - 260ms/step\n","Epoch 97/125\n","10/10 - 3s - loss: 159.2897 - mae: 9.5343 - val_loss: 253.9879 - val_mae: 11.7437 - 3s/epoch - 347ms/step\n","Epoch 98/125\n","10/10 - 3s - loss: 170.9131 - mae: 9.7728 - val_loss: 244.2157 - val_mae: 11.7469 - 3s/epoch - 328ms/step\n","Epoch 99/125\n","10/10 - 3s - loss: 150.0145 - mae: 9.0191 - val_loss: 247.4398 - val_mae: 11.2567 - 3s/epoch - 254ms/step\n","Epoch 100/125\n","10/10 - 2s - loss: 143.6454 - mae: 8.8092 - val_loss: 253.6913 - val_mae: 11.6347 - 2s/epoch - 249ms/step\n","Epoch 101/125\n","10/10 - 3s - loss: 156.2456 - mae: 9.4392 - val_loss: 247.0738 - val_mae: 11.2596 - 3s/epoch - 255ms/step\n","Epoch 102/125\n","10/10 - 4s - loss: 154.2278 - mae: 9.0083 - val_loss: 285.4654 - val_mae: 11.9207 - 4s/epoch - 363ms/step\n","Epoch 103/125\n","10/10 - 3s - loss: 151.3515 - mae: 9.1028 - val_loss: 251.9964 - val_mae: 11.5125 - 3s/epoch - 311ms/step\n","Epoch 104/125\n","10/10 - 3s - loss: 138.6976 - mae: 8.4663 - val_loss: 263.6268 - val_mae: 11.7463 - 3s/epoch - 260ms/step\n","Epoch 105/125\n","10/10 - 3s - loss: 132.2911 - mae: 8.3684 - val_loss: 273.7804 - val_mae: 11.8128 - 3s/epoch - 260ms/step\n","Epoch 106/125\n","10/10 - 3s - loss: 145.3319 - mae: 8.8431 - val_loss: 270.3032 - val_mae: 11.8878 - 3s/epoch - 255ms/step\n","Epoch 107/125\n","10/10 - 4s - loss: 170.3257 - mae: 9.7633 - val_loss: 253.6984 - val_mae: 11.9922 - 4s/epoch - 378ms/step\n","Epoch 108/125\n","10/10 - 3s - loss: 163.8829 - mae: 9.5834 - val_loss: 266.7607 - val_mae: 12.0073 - 3s/epoch - 298ms/step\n","Epoch 109/125\n","10/10 - 3s - loss: 156.0346 - mae: 9.3273 - val_loss: 321.5136 - val_mae: 13.4241 - 3s/epoch - 255ms/step\n","Epoch 110/125\n","10/10 - 3s - loss: 183.4605 - mae: 10.1923 - val_loss: 327.0333 - val_mae: 13.7711 - 3s/epoch - 251ms/step\n","Epoch 111/125\n","10/10 - 3s - loss: 188.8637 - mae: 10.7071 - val_loss: 277.8200 - val_mae: 12.1864 - 3s/epoch - 257ms/step\n","Epoch 112/125\n","10/10 - 4s - loss: 155.9859 - mae: 9.3886 - val_loss: 246.7388 - val_mae: 11.5015 - 4s/epoch - 385ms/step\n","Epoch 113/125\n","10/10 - 3s - loss: 131.9438 - mae: 8.3829 - val_loss: 271.0014 - val_mae: 11.8035 - 3s/epoch - 288ms/step\n","Epoch 114/125\n","10/10 - 3s - loss: 143.8171 - mae: 8.9055 - val_loss: 275.4312 - val_mae: 11.8366 - 3s/epoch - 251ms/step\n","Epoch 115/125\n","10/10 - 3s - loss: 135.7756 - mae: 8.6043 - val_loss: 279.8162 - val_mae: 12.0252 - 3s/epoch - 251ms/step\n","Epoch 116/125\n","10/10 - 3s - loss: 133.9353 - mae: 8.6063 - val_loss: 274.3423 - val_mae: 11.7709 - 3s/epoch - 257ms/step\n","Epoch 117/125\n","10/10 - 4s - loss: 134.6294 - mae: 8.4438 - val_loss: 290.0507 - val_mae: 12.1849 - 4s/epoch - 423ms/step\n","Epoch 118/125\n","10/10 - 3s - loss: 133.6275 - mae: 8.5880 - val_loss: 275.5093 - val_mae: 11.6869 - 3s/epoch - 267ms/step\n","Epoch 119/125\n","10/10 - 3s - loss: 110.7616 - mae: 7.7956 - val_loss: 278.6222 - val_mae: 11.7444 - 3s/epoch - 257ms/step\n","Epoch 120/125\n","10/10 - 3s - loss: 122.6686 - mae: 7.9770 - val_loss: 270.6903 - val_mae: 11.4284 - 3s/epoch - 253ms/step\n","Epoch 121/125\n","10/10 - 3s - loss: 120.3977 - mae: 8.1476 - val_loss: 282.6158 - val_mae: 11.8806 - 3s/epoch - 280ms/step\n","Epoch 122/125\n","10/10 - 4s - loss: 111.8601 - mae: 8.0204 - val_loss: 306.7493 - val_mae: 12.8211 - 4s/epoch - 406ms/step\n","Epoch 123/125\n","10/10 - 3s - loss: 116.5641 - mae: 7.9553 - val_loss: 296.0543 - val_mae: 12.4222 - 3s/epoch - 255ms/step\n","Epoch 124/125\n","10/10 - 3s - loss: 107.9222 - mae: 7.8468 - val_loss: 302.4539 - val_mae: 12.4584 - 3s/epoch - 252ms/step\n","Epoch 125/125\n","10/10 - 2s - loss: 110.0569 - mae: 7.6980 - val_loss: 285.1431 - val_mae: 11.8246 - 2s/epoch - 248ms/step\n","\n","\n","Training LSTM ============= with mean_absolute_error\n","\n","Epoch 1/125\n","10/10 - 12s - loss: 51.6446 - mae: 51.6446 - val_loss: 16.0110 - val_mae: 16.0110 - 12s/epoch - 1s/step\n","Epoch 2/125\n","10/10 - 3s - loss: 14.0089 - mae: 14.0089 - val_loss: 11.6802 - val_mae: 11.6802 - 3s/epoch - 266ms/step\n","Epoch 3/125\n","10/10 - 3s - loss: 13.9548 - mae: 13.9548 - val_loss: 13.9398 - val_mae: 13.9398 - 3s/epoch - 250ms/step\n","Epoch 4/125\n","10/10 - 2s - loss: 13.6598 - mae: 13.6598 - val_loss: 11.8843 - val_mae: 11.8843 - 2s/epoch - 247ms/step\n","Epoch 5/125\n","10/10 - 3s - loss: 11.8266 - mae: 11.8266 - val_loss: 11.4831 - val_mae: 11.4831 - 3s/epoch - 297ms/step\n","Epoch 6/125\n","10/10 - 4s - loss: 11.9175 - mae: 11.9175 - val_loss: 11.5094 - val_mae: 11.5094 - 4s/epoch - 380ms/step\n","Epoch 7/125\n","10/10 - 3s - loss: 12.7137 - mae: 12.7137 - val_loss: 11.5841 - val_mae: 11.5841 - 3s/epoch - 263ms/step\n","Epoch 8/125\n","10/10 - 3s - loss: 12.6510 - mae: 12.6510 - val_loss: 11.5542 - val_mae: 11.5542 - 3s/epoch - 251ms/step\n","Epoch 9/125\n","10/10 - 3s - loss: 12.1029 - mae: 12.1029 - val_loss: 11.6888 - val_mae: 11.6888 - 3s/epoch - 254ms/step\n","Epoch 10/125\n","10/10 - 3s - loss: 11.8970 - mae: 11.8970 - val_loss: 11.8557 - val_mae: 11.8557 - 3s/epoch - 316ms/step\n","Epoch 11/125\n","10/10 - 4s - loss: 11.6004 - mae: 11.6004 - val_loss: 12.5654 - val_mae: 12.5654 - 4s/epoch - 358ms/step\n","Epoch 12/125\n","10/10 - 2s - loss: 12.5766 - mae: 12.5766 - val_loss: 11.9856 - val_mae: 11.9856 - 2s/epoch - 249ms/step\n","Epoch 13/125\n","10/10 - 3s - loss: 12.0802 - mae: 12.0802 - val_loss: 11.6122 - val_mae: 11.6122 - 3s/epoch - 256ms/step\n","Epoch 14/125\n","10/10 - 3s - loss: 11.5493 - mae: 11.5493 - val_loss: 11.7560 - val_mae: 11.7560 - 3s/epoch - 261ms/step\n","Epoch 15/125\n","10/10 - 3s - loss: 11.4641 - mae: 11.4641 - val_loss: 11.6213 - val_mae: 11.6213 - 3s/epoch - 317ms/step\n","Epoch 16/125\n","10/10 - 3s - loss: 11.3089 - mae: 11.3089 - val_loss: 12.0358 - val_mae: 12.0358 - 3s/epoch - 350ms/step\n","Epoch 17/125\n","10/10 - 3s - loss: 11.4184 - mae: 11.4184 - val_loss: 11.5090 - val_mae: 11.5090 - 3s/epoch - 254ms/step\n","Epoch 18/125\n","10/10 - 3s - loss: 11.5440 - mae: 11.5440 - val_loss: 11.5046 - val_mae: 11.5046 - 3s/epoch - 257ms/step\n","Epoch 19/125\n","10/10 - 3s - loss: 11.3885 - mae: 11.3885 - val_loss: 11.5659 - val_mae: 11.5659 - 3s/epoch - 250ms/step\n","Epoch 20/125\n","10/10 - 3s - loss: 11.3547 - mae: 11.3547 - val_loss: 11.7483 - val_mae: 11.7483 - 3s/epoch - 319ms/step\n","Epoch 21/125\n","10/10 - 3s - loss: 11.2398 - mae: 11.2398 - val_loss: 11.5710 - val_mae: 11.5710 - 3s/epoch - 347ms/step\n","Epoch 22/125\n","10/10 - 3s - loss: 11.7288 - mae: 11.7288 - val_loss: 13.6369 - val_mae: 13.6369 - 3s/epoch - 255ms/step\n","Epoch 23/125\n","10/10 - 2s - loss: 11.9173 - mae: 11.9173 - val_loss: 11.6051 - val_mae: 11.6051 - 2s/epoch - 250ms/step\n","Epoch 24/125\n","10/10 - 3s - loss: 11.4970 - mae: 11.4970 - val_loss: 12.2283 - val_mae: 12.2283 - 3s/epoch - 251ms/step\n","Epoch 25/125\n","10/10 - 3s - loss: 11.4459 - mae: 11.4459 - val_loss: 11.9131 - val_mae: 11.9131 - 3s/epoch - 331ms/step\n","Epoch 26/125\n","10/10 - 3s - loss: 11.7559 - mae: 11.7559 - val_loss: 11.8188 - val_mae: 11.8188 - 3s/epoch - 340ms/step\n","Epoch 27/125\n","10/10 - 2s - loss: 11.9037 - mae: 11.9037 - val_loss: 11.4973 - val_mae: 11.4973 - 2s/epoch - 248ms/step\n","Epoch 28/125\n","10/10 - 3s - loss: 11.4656 - mae: 11.4656 - val_loss: 11.5624 - val_mae: 11.5624 - 3s/epoch - 255ms/step\n","Epoch 29/125\n","10/10 - 3s - loss: 11.4750 - mae: 11.4750 - val_loss: 11.9488 - val_mae: 11.9488 - 3s/epoch - 262ms/step\n","Epoch 30/125\n","10/10 - 4s - loss: 11.4357 - mae: 11.4357 - val_loss: 11.2602 - val_mae: 11.2602 - 4s/epoch - 373ms/step\n","Epoch 31/125\n","10/10 - 3s - loss: 11.2533 - mae: 11.2533 - val_loss: 11.3424 - val_mae: 11.3424 - 3s/epoch - 319ms/step\n","Epoch 32/125\n","10/10 - 3s - loss: 11.4105 - mae: 11.4105 - val_loss: 12.1044 - val_mae: 12.1044 - 3s/epoch - 256ms/step\n","Epoch 33/125\n","10/10 - 3s - loss: 11.7324 - mae: 11.7324 - val_loss: 12.0771 - val_mae: 12.0771 - 3s/epoch - 255ms/step\n","Epoch 34/125\n","10/10 - 3s - loss: 11.5742 - mae: 11.5742 - val_loss: 11.3812 - val_mae: 11.3812 - 3s/epoch - 256ms/step\n","Epoch 35/125\n","10/10 - 4s - loss: 10.7843 - mae: 10.7843 - val_loss: 11.3986 - val_mae: 11.3986 - 4s/epoch - 370ms/step\n","Epoch 36/125\n","10/10 - 3s - loss: 10.5665 - mae: 10.5665 - val_loss: 11.2693 - val_mae: 11.2693 - 3s/epoch - 309ms/step\n","Epoch 37/125\n","10/10 - 3s - loss: 10.8193 - mae: 10.8193 - val_loss: 11.2857 - val_mae: 11.2857 - 3s/epoch - 255ms/step\n","Epoch 38/125\n","10/10 - 3s - loss: 10.8084 - mae: 10.8084 - val_loss: 10.9671 - val_mae: 10.9671 - 3s/epoch - 268ms/step\n","Epoch 39/125\n","10/10 - 3s - loss: 10.4959 - mae: 10.4959 - val_loss: 11.2280 - val_mae: 11.2280 - 3s/epoch - 263ms/step\n","Epoch 40/125\n","10/10 - 4s - loss: 10.5008 - mae: 10.5008 - val_loss: 11.2215 - val_mae: 11.2215 - 4s/epoch - 413ms/step\n","Epoch 41/125\n","10/10 - 3s - loss: 10.7842 - mae: 10.7842 - val_loss: 13.3520 - val_mae: 13.3520 - 3s/epoch - 265ms/step\n","Epoch 42/125\n","10/10 - 3s - loss: 11.1873 - mae: 11.1873 - val_loss: 11.6233 - val_mae: 11.6233 - 3s/epoch - 250ms/step\n","Epoch 43/125\n","10/10 - 2s - loss: 12.4650 - mae: 12.4650 - val_loss: 11.6759 - val_mae: 11.6759 - 2s/epoch - 245ms/step\n","Epoch 44/125\n","10/10 - 3s - loss: 11.5290 - mae: 11.5290 - val_loss: 11.7391 - val_mae: 11.7391 - 3s/epoch - 258ms/step\n","Epoch 45/125\n","10/10 - 4s - loss: 12.0457 - mae: 12.0457 - val_loss: 11.2986 - val_mae: 11.2986 - 4s/epoch - 421ms/step\n","Epoch 46/125\n","10/10 - 3s - loss: 10.9101 - mae: 10.9101 - val_loss: 11.2951 - val_mae: 11.2951 - 3s/epoch - 257ms/step\n","Epoch 47/125\n","10/10 - 3s - loss: 10.9844 - mae: 10.9844 - val_loss: 11.7346 - val_mae: 11.7346 - 3s/epoch - 253ms/step\n","Epoch 48/125\n","10/10 - 3s - loss: 10.4281 - mae: 10.4281 - val_loss: 11.5633 - val_mae: 11.5633 - 3s/epoch - 257ms/step\n","Epoch 49/125\n","10/10 - 3s - loss: 10.9254 - mae: 10.9254 - val_loss: 11.7499 - val_mae: 11.7499 - 3s/epoch - 266ms/step\n","Epoch 50/125\n","10/10 - 4s - loss: 10.8785 - mae: 10.8785 - val_loss: 11.0628 - val_mae: 11.0628 - 4s/epoch - 410ms/step\n","Epoch 51/125\n","10/10 - 3s - loss: 10.6844 - mae: 10.6844 - val_loss: 11.2661 - val_mae: 11.2661 - 3s/epoch - 251ms/step\n","Epoch 52/125\n","10/10 - 3s - loss: 10.1442 - mae: 10.1442 - val_loss: 11.2956 - val_mae: 11.2956 - 3s/epoch - 251ms/step\n","Epoch 53/125\n","10/10 - 3s - loss: 10.0651 - mae: 10.0651 - val_loss: 11.3640 - val_mae: 11.3640 - 3s/epoch - 256ms/step\n","Epoch 54/125\n","10/10 - 3s - loss: 10.1492 - mae: 10.1492 - val_loss: 12.3927 - val_mae: 12.3927 - 3s/epoch - 271ms/step\n","Epoch 55/125\n","10/10 - 4s - loss: 11.0911 - mae: 11.0911 - val_loss: 14.1977 - val_mae: 14.1977 - 4s/epoch - 402ms/step\n","Epoch 56/125\n","10/10 - 3s - loss: 10.9639 - mae: 10.9639 - val_loss: 12.0900 - val_mae: 12.0900 - 3s/epoch - 259ms/step\n","Epoch 57/125\n","10/10 - 2s - loss: 10.3397 - mae: 10.3397 - val_loss: 11.4669 - val_mae: 11.4669 - 2s/epoch - 249ms/step\n","Epoch 58/125\n","10/10 - 3s - loss: 10.2198 - mae: 10.2198 - val_loss: 10.9664 - val_mae: 10.9664 - 3s/epoch - 264ms/step\n","Epoch 59/125\n","10/10 - 3s - loss: 9.5914 - mae: 9.5914 - val_loss: 11.1660 - val_mae: 11.1660 - 3s/epoch - 277ms/step\n","Epoch 60/125\n","10/10 - 4s - loss: 9.7088 - mae: 9.7088 - val_loss: 11.9749 - val_mae: 11.9749 - 4s/epoch - 387ms/step\n","Epoch 61/125\n","10/10 - 3s - loss: 10.6881 - mae: 10.6881 - val_loss: 13.0154 - val_mae: 13.0154 - 3s/epoch - 253ms/step\n","Epoch 62/125\n","10/10 - 3s - loss: 10.4252 - mae: 10.4252 - val_loss: 11.3413 - val_mae: 11.3413 - 3s/epoch - 253ms/step\n","Epoch 63/125\n","10/10 - 3s - loss: 9.7540 - mae: 9.7540 - val_loss: 10.9670 - val_mae: 10.9670 - 3s/epoch - 264ms/step\n","Epoch 64/125\n","10/10 - 3s - loss: 9.5714 - mae: 9.5714 - val_loss: 10.4579 - val_mae: 10.4579 - 3s/epoch - 317ms/step\n","Epoch 65/125\n","10/10 - 4s - loss: 9.6446 - mae: 9.6446 - val_loss: 10.7697 - val_mae: 10.7697 - 4s/epoch - 366ms/step\n","Epoch 66/125\n","10/10 - 3s - loss: 9.7289 - mae: 9.7289 - val_loss: 10.6999 - val_mae: 10.6999 - 3s/epoch - 257ms/step\n","Epoch 67/125\n","10/10 - 3s - loss: 9.6110 - mae: 9.6110 - val_loss: 10.8302 - val_mae: 10.8302 - 3s/epoch - 252ms/step\n","Epoch 68/125\n","10/10 - 3s - loss: 9.1806 - mae: 9.1806 - val_loss: 10.8972 - val_mae: 10.8972 - 3s/epoch - 254ms/step\n","Epoch 69/125\n","10/10 - 3s - loss: 9.2977 - mae: 9.2977 - val_loss: 10.4676 - val_mae: 10.4676 - 3s/epoch - 331ms/step\n","Epoch 70/125\n","10/10 - 3s - loss: 9.2356 - mae: 9.2356 - val_loss: 10.5969 - val_mae: 10.5969 - 3s/epoch - 345ms/step\n","Epoch 71/125\n","10/10 - 3s - loss: 9.0197 - mae: 9.0197 - val_loss: 11.7381 - val_mae: 11.7381 - 3s/epoch - 254ms/step\n","Epoch 72/125\n","10/10 - 2s - loss: 9.0886 - mae: 9.0886 - val_loss: 11.2336 - val_mae: 11.2336 - 2s/epoch - 248ms/step\n","Epoch 73/125\n","10/10 - 3s - loss: 9.2349 - mae: 9.2349 - val_loss: 10.8304 - val_mae: 10.8304 - 3s/epoch - 256ms/step\n","Epoch 74/125\n","10/10 - 3s - loss: 10.0729 - mae: 10.0729 - val_loss: 10.7956 - val_mae: 10.7956 - 3s/epoch - 333ms/step\n","Epoch 75/125\n","10/10 - 3s - loss: 9.4115 - mae: 9.4115 - val_loss: 11.0401 - val_mae: 11.0401 - 3s/epoch - 346ms/step\n","Epoch 76/125\n","10/10 - 3s - loss: 8.7466 - mae: 8.7466 - val_loss: 9.8612 - val_mae: 9.8612 - 3s/epoch - 262ms/step\n","Epoch 77/125\n","10/10 - 3s - loss: 8.6815 - mae: 8.6815 - val_loss: 10.0365 - val_mae: 10.0365 - 3s/epoch - 257ms/step\n","Epoch 78/125\n","10/10 - 3s - loss: 8.1522 - mae: 8.1522 - val_loss: 9.8330 - val_mae: 9.8330 - 3s/epoch - 266ms/step\n","Epoch 79/125\n","10/10 - 4s - loss: 8.5107 - mae: 8.5107 - val_loss: 9.9630 - val_mae: 9.9630 - 4s/epoch - 356ms/step\n","Epoch 80/125\n","10/10 - 3s - loss: 8.1255 - mae: 8.1255 - val_loss: 11.3068 - val_mae: 11.3068 - 3s/epoch - 320ms/step\n","Epoch 81/125\n","10/10 - 3s - loss: 9.1444 - mae: 9.1444 - val_loss: 10.3812 - val_mae: 10.3812 - 3s/epoch - 265ms/step\n","Epoch 82/125\n","10/10 - 2s - loss: 9.0820 - mae: 9.0820 - val_loss: 10.2362 - val_mae: 10.2362 - 2s/epoch - 246ms/step\n","Epoch 83/125\n","10/10 - 3s - loss: 8.2128 - mae: 8.2128 - val_loss: 11.5938 - val_mae: 11.5938 - 3s/epoch - 252ms/step\n","Epoch 84/125\n","10/10 - 4s - loss: 7.9534 - mae: 7.9534 - val_loss: 9.4321 - val_mae: 9.4321 - 4s/epoch - 400ms/step\n","Epoch 85/125\n","10/10 - 3s - loss: 7.5432 - mae: 7.5432 - val_loss: 9.5295 - val_mae: 9.5295 - 3s/epoch - 291ms/step\n","Epoch 86/125\n","10/10 - 3s - loss: 7.2479 - mae: 7.2479 - val_loss: 9.8582 - val_mae: 9.8582 - 3s/epoch - 263ms/step\n","Epoch 87/125\n","10/10 - 3s - loss: 7.5284 - mae: 7.5284 - val_loss: 10.4612 - val_mae: 10.4612 - 3s/epoch - 254ms/step\n","Epoch 88/125\n","10/10 - 3s - loss: 7.3437 - mae: 7.3437 - val_loss: 10.0624 - val_mae: 10.0624 - 3s/epoch - 252ms/step\n","Epoch 89/125\n","10/10 - 4s - loss: 8.2738 - mae: 8.2738 - val_loss: 10.3777 - val_mae: 10.3777 - 4s/epoch - 405ms/step\n","Epoch 90/125\n","10/10 - 3s - loss: 7.4605 - mae: 7.4605 - val_loss: 9.5954 - val_mae: 9.5954 - 3s/epoch - 271ms/step\n","Epoch 91/125\n","10/10 - 3s - loss: 6.7973 - mae: 6.7973 - val_loss: 10.2134 - val_mae: 10.2134 - 3s/epoch - 259ms/step\n","Epoch 92/125\n","10/10 - 3s - loss: 7.2640 - mae: 7.2640 - val_loss: 10.4604 - val_mae: 10.4604 - 3s/epoch - 253ms/step\n","Epoch 93/125\n","10/10 - 3s - loss: 8.4008 - mae: 8.4008 - val_loss: 12.5666 - val_mae: 12.5666 - 3s/epoch - 251ms/step\n","Epoch 94/125\n","10/10 - 4s - loss: 8.3475 - mae: 8.3475 - val_loss: 9.3838 - val_mae: 9.3838 - 4s/epoch - 428ms/step\n","Epoch 95/125\n","10/10 - 2s - loss: 7.0132 - mae: 7.0132 - val_loss: 9.9638 - val_mae: 9.9638 - 2s/epoch - 248ms/step\n","Epoch 96/125\n","10/10 - 2s - loss: 7.3805 - mae: 7.3805 - val_loss: 11.6194 - val_mae: 11.6194 - 2s/epoch - 249ms/step\n","Epoch 97/125\n","10/10 - 3s - loss: 6.6862 - mae: 6.6862 - val_loss: 10.0088 - val_mae: 10.0088 - 3s/epoch - 252ms/step\n","Epoch 98/125\n","10/10 - 3s - loss: 6.7163 - mae: 6.7163 - val_loss: 9.8982 - val_mae: 9.8982 - 3s/epoch - 270ms/step\n","Epoch 99/125\n","10/10 - 4s - loss: 6.6762 - mae: 6.6762 - val_loss: 10.0463 - val_mae: 10.0463 - 4s/epoch - 412ms/step\n","Epoch 100/125\n","10/10 - 3s - loss: 7.2531 - mae: 7.2531 - val_loss: 10.0142 - val_mae: 10.0142 - 3s/epoch - 253ms/step\n","Epoch 101/125\n","10/10 - 3s - loss: 7.0914 - mae: 7.0914 - val_loss: 10.8987 - val_mae: 10.8987 - 3s/epoch - 259ms/step\n","Epoch 102/125\n","10/10 - 3s - loss: 7.3965 - mae: 7.3965 - val_loss: 9.5468 - val_mae: 9.5468 - 3s/epoch - 263ms/step\n","Epoch 103/125\n","10/10 - 3s - loss: 6.4448 - mae: 6.4448 - val_loss: 10.2191 - val_mae: 10.2191 - 3s/epoch - 296ms/step\n","Epoch 104/125\n","10/10 - 4s - loss: 6.8134 - mae: 6.8134 - val_loss: 10.3417 - val_mae: 10.3417 - 4s/epoch - 390ms/step\n","Epoch 105/125\n","10/10 - 3s - loss: 7.1150 - mae: 7.1150 - val_loss: 9.6018 - val_mae: 9.6018 - 3s/epoch - 254ms/step\n","Epoch 106/125\n","10/10 - 2s - loss: 5.9325 - mae: 5.9325 - val_loss: 10.4630 - val_mae: 10.4630 - 2s/epoch - 248ms/step\n","Epoch 107/125\n","10/10 - 3s - loss: 5.9967 - mae: 5.9967 - val_loss: 9.7337 - val_mae: 9.7337 - 3s/epoch - 252ms/step\n","Epoch 108/125\n","10/10 - 3s - loss: 6.5049 - mae: 6.5049 - val_loss: 10.1649 - val_mae: 10.1649 - 3s/epoch - 314ms/step\n","Epoch 109/125\n","10/10 - 4s - loss: 7.0442 - mae: 7.0442 - val_loss: 12.0005 - val_mae: 12.0005 - 4s/epoch - 375ms/step\n","Epoch 110/125\n","10/10 - 3s - loss: 7.5820 - mae: 7.5820 - val_loss: 10.5445 - val_mae: 10.5445 - 3s/epoch - 257ms/step\n","Epoch 111/125\n","10/10 - 2s - loss: 6.5020 - mae: 6.5020 - val_loss: 11.7610 - val_mae: 11.7610 - 2s/epoch - 249ms/step\n","Epoch 112/125\n","10/10 - 3s - loss: 5.7896 - mae: 5.7896 - val_loss: 10.0561 - val_mae: 10.0561 - 3s/epoch - 259ms/step\n","Epoch 113/125\n","10/10 - 3s - loss: 5.7993 - mae: 5.7993 - val_loss: 10.0128 - val_mae: 10.0128 - 3s/epoch - 335ms/step\n","Epoch 114/125\n","10/10 - 3s - loss: 5.2560 - mae: 5.2560 - val_loss: 9.4858 - val_mae: 9.4858 - 3s/epoch - 348ms/step\n","Epoch 115/125\n","10/10 - 3s - loss: 5.1784 - mae: 5.1784 - val_loss: 10.6181 - val_mae: 10.6181 - 3s/epoch - 252ms/step\n","Epoch 116/125\n","10/10 - 3s - loss: 5.1532 - mae: 5.1532 - val_loss: 9.9161 - val_mae: 9.9161 - 3s/epoch - 254ms/step\n","Epoch 117/125\n","10/10 - 3s - loss: 4.9895 - mae: 4.9895 - val_loss: 10.7809 - val_mae: 10.7809 - 3s/epoch - 253ms/step\n","Epoch 118/125\n","10/10 - 3s - loss: 5.6321 - mae: 5.6321 - val_loss: 10.5350 - val_mae: 10.5350 - 3s/epoch - 343ms/step\n","Epoch 119/125\n","10/10 - 3s - loss: 4.9647 - mae: 4.9647 - val_loss: 10.2324 - val_mae: 10.2324 - 3s/epoch - 323ms/step\n","Epoch 120/125\n","10/10 - 3s - loss: 5.2578 - mae: 5.2578 - val_loss: 10.2684 - val_mae: 10.2684 - 3s/epoch - 255ms/step\n","Epoch 121/125\n","10/10 - 3s - loss: 5.0765 - mae: 5.0765 - val_loss: 10.4030 - val_mae: 10.4030 - 3s/epoch - 253ms/step\n","Epoch 122/125\n","10/10 - 3s - loss: 5.1980 - mae: 5.1980 - val_loss: 10.5306 - val_mae: 10.5306 - 3s/epoch - 251ms/step\n","Epoch 123/125\n","10/10 - 4s - loss: 4.7865 - mae: 4.7865 - val_loss: 10.6643 - val_mae: 10.6643 - 4s/epoch - 365ms/step\n","Epoch 124/125\n","10/10 - 3s - loss: 5.1759 - mae: 5.1759 - val_loss: 10.2919 - val_mae: 10.2919 - 3s/epoch - 313ms/step\n","Epoch 125/125\n","10/10 - 3s - loss: 4.9813 - mae: 4.9813 - val_loss: 10.6322 - val_mae: 10.6322 - 3s/epoch - 262ms/step\n","\n","\n","Training LSTM ============= with log_cosh\n","\n","Epoch 1/125\n","10/10 - 11s - loss: 50.8028 - mae: 51.4906 - val_loss: 11.6644 - val_mae: 12.3207 - 11s/epoch - 1s/step\n","Epoch 2/125\n","10/10 - 3s - loss: 13.7075 - mae: 14.3779 - val_loss: 11.1649 - val_mae: 11.8275 - 3s/epoch - 265ms/step\n","Epoch 3/125\n","10/10 - 4s - loss: 12.1241 - mae: 12.7983 - val_loss: 12.5173 - val_mae: 13.1739 - 4s/epoch - 439ms/step\n","Epoch 4/125\n","10/10 - 3s - loss: 11.5320 - mae: 12.1993 - val_loss: 11.0458 - val_mae: 11.7121 - 3s/epoch - 259ms/step\n","Epoch 5/125\n","10/10 - 3s - loss: 11.2406 - mae: 11.9142 - val_loss: 11.5557 - val_mae: 12.2358 - 3s/epoch - 255ms/step\n","Epoch 6/125\n","10/10 - 3s - loss: 11.4896 - mae: 12.1627 - val_loss: 10.8452 - val_mae: 11.5193 - 3s/epoch - 253ms/step\n","Epoch 7/125\n","10/10 - 3s - loss: 11.3685 - mae: 12.0351 - val_loss: 11.1372 - val_mae: 11.8028 - 3s/epoch - 283ms/step\n","Epoch 8/125\n","10/10 - 4s - loss: 11.8786 - mae: 12.5528 - val_loss: 10.8885 - val_mae: 11.5407 - 4s/epoch - 395ms/step\n","Epoch 9/125\n","10/10 - 3s - loss: 11.8717 - mae: 12.5479 - val_loss: 11.0400 - val_mae: 11.7043 - 3s/epoch - 255ms/step\n","Epoch 10/125\n","10/10 - 3s - loss: 11.0185 - mae: 11.6871 - val_loss: 11.5476 - val_mae: 12.2080 - 3s/epoch - 254ms/step\n","Epoch 11/125\n","10/10 - 3s - loss: 11.3547 - mae: 12.0226 - val_loss: 11.5183 - val_mae: 12.1776 - 3s/epoch - 251ms/step\n","Epoch 12/125\n","10/10 - 3s - loss: 10.7045 - mae: 11.3722 - val_loss: 10.9028 - val_mae: 11.5766 - 3s/epoch - 298ms/step\n","Epoch 13/125\n","10/10 - 4s - loss: 10.9043 - mae: 11.5806 - val_loss: 10.9522 - val_mae: 11.6201 - 4s/epoch - 374ms/step\n","Epoch 14/125\n","10/10 - 3s - loss: 10.9274 - mae: 11.5919 - val_loss: 11.0253 - val_mae: 11.6550 - 3s/epoch - 252ms/step\n","Epoch 15/125\n","10/10 - 3s - loss: 11.5608 - mae: 12.2274 - val_loss: 10.8308 - val_mae: 11.5124 - 3s/epoch - 260ms/step\n","Epoch 16/125\n","10/10 - 3s - loss: 12.6092 - mae: 13.2886 - val_loss: 10.8379 - val_mae: 11.5123 - 3s/epoch - 255ms/step\n","Epoch 17/125\n","10/10 - 3s - loss: 12.9321 - mae: 13.6096 - val_loss: 11.1436 - val_mae: 11.8057 - 3s/epoch - 332ms/step\n","Epoch 18/125\n","10/10 - 4s - loss: 11.4581 - mae: 12.1340 - val_loss: 11.0850 - val_mae: 11.7523 - 4s/epoch - 351ms/step\n","Epoch 19/125\n","10/10 - 3s - loss: 10.8726 - mae: 11.5358 - val_loss: 11.5639 - val_mae: 12.2322 - 3s/epoch - 261ms/step\n","Epoch 20/125\n","10/10 - 3s - loss: 11.2381 - mae: 11.9114 - val_loss: 11.8462 - val_mae: 12.5167 - 3s/epoch - 254ms/step\n","Epoch 21/125\n","10/10 - 3s - loss: 10.9252 - mae: 11.6022 - val_loss: 11.2955 - val_mae: 11.9504 - 3s/epoch - 259ms/step\n","Epoch 22/125\n","10/10 - 3s - loss: 10.6580 - mae: 11.3275 - val_loss: 10.9634 - val_mae: 11.6380 - 3s/epoch - 346ms/step\n","Epoch 23/125\n","10/10 - 3s - loss: 10.7479 - mae: 11.4204 - val_loss: 11.7059 - val_mae: 12.3583 - 3s/epoch - 327ms/step\n","Epoch 24/125\n","10/10 - 3s - loss: 10.7773 - mae: 11.4393 - val_loss: 10.9152 - val_mae: 11.5771 - 3s/epoch - 253ms/step\n","Epoch 25/125\n","10/10 - 3s - loss: 11.0298 - mae: 11.6978 - val_loss: 11.3339 - val_mae: 11.9890 - 3s/epoch - 255ms/step\n","Epoch 26/125\n","10/10 - 3s - loss: 11.6287 - mae: 12.3061 - val_loss: 12.1743 - val_mae: 12.8606 - 3s/epoch - 254ms/step\n","Epoch 27/125\n","10/10 - 3s - loss: 11.1246 - mae: 11.7962 - val_loss: 10.9746 - val_mae: 11.6382 - 3s/epoch - 348ms/step\n","Epoch 28/125\n","10/10 - 3s - loss: 10.6188 - mae: 11.2888 - val_loss: 10.7481 - val_mae: 11.4130 - 3s/epoch - 330ms/step\n","Epoch 29/125\n","10/10 - 3s - loss: 10.4907 - mae: 11.1537 - val_loss: 10.7929 - val_mae: 11.4680 - 3s/epoch - 258ms/step\n","Epoch 30/125\n","10/10 - 3s - loss: 10.3423 - mae: 11.0005 - val_loss: 10.9616 - val_mae: 11.6349 - 3s/epoch - 255ms/step\n","Epoch 31/125\n","10/10 - 3s - loss: 10.3239 - mae: 10.9960 - val_loss: 10.9863 - val_mae: 11.6576 - 3s/epoch - 261ms/step\n","Epoch 32/125\n","10/10 - 4s - loss: 10.2510 - mae: 10.9155 - val_loss: 11.2379 - val_mae: 11.9181 - 4s/epoch - 380ms/step\n","Epoch 33/125\n","10/10 - 3s - loss: 10.5030 - mae: 11.1711 - val_loss: 13.0293 - val_mae: 13.7191 - 3s/epoch - 297ms/step\n","Epoch 34/125\n","10/10 - 3s - loss: 10.9413 - mae: 11.6131 - val_loss: 12.0171 - val_mae: 12.6780 - 3s/epoch - 251ms/step\n","Epoch 35/125\n","10/10 - 3s - loss: 10.6768 - mae: 11.3391 - val_loss: 11.5073 - val_mae: 12.1800 - 3s/epoch - 250ms/step\n","Epoch 36/125\n","10/10 - 3s - loss: 10.2873 - mae: 10.9561 - val_loss: 10.6901 - val_mae: 11.3670 - 3s/epoch - 259ms/step\n","Epoch 37/125\n","10/10 - 4s - loss: 10.3255 - mae: 10.9987 - val_loss: 10.7273 - val_mae: 11.3929 - 4s/epoch - 388ms/step\n","Epoch 38/125\n","10/10 - 3s - loss: 10.2423 - mae: 10.9090 - val_loss: 11.1953 - val_mae: 11.8562 - 3s/epoch - 305ms/step\n","Epoch 39/125\n","10/10 - 3s - loss: 9.8823 - mae: 10.5440 - val_loss: 10.9239 - val_mae: 11.5956 - 3s/epoch - 261ms/step\n","Epoch 40/125\n","10/10 - 3s - loss: 9.9353 - mae: 10.6035 - val_loss: 10.1422 - val_mae: 10.8114 - 3s/epoch - 260ms/step\n","Epoch 41/125\n","10/10 - 3s - loss: 9.8845 - mae: 10.5451 - val_loss: 10.6624 - val_mae: 11.3395 - 3s/epoch - 252ms/step\n","Epoch 42/125\n","10/10 - 4s - loss: 10.6370 - mae: 11.3013 - val_loss: 10.7307 - val_mae: 11.3889 - 4s/epoch - 399ms/step\n","Epoch 43/125\n","10/10 - 3s - loss: 9.9243 - mae: 10.5919 - val_loss: 10.5469 - val_mae: 11.2218 - 3s/epoch - 272ms/step\n","Epoch 44/125\n","10/10 - 3s - loss: 10.1435 - mae: 10.8138 - val_loss: 10.3284 - val_mae: 10.9824 - 3s/epoch - 252ms/step\n","Epoch 45/125\n","10/10 - 3s - loss: 10.4107 - mae: 11.0766 - val_loss: 10.6537 - val_mae: 11.3229 - 3s/epoch - 259ms/step\n","Epoch 46/125\n","10/10 - 3s - loss: 10.0973 - mae: 10.7711 - val_loss: 12.5269 - val_mae: 13.2018 - 3s/epoch - 259ms/step\n","Epoch 47/125\n","10/10 - 4s - loss: 11.2704 - mae: 11.9348 - val_loss: 11.9310 - val_mae: 12.6075 - 4s/epoch - 418ms/step\n","Epoch 48/125\n","10/10 - 3s - loss: 10.5006 - mae: 11.1644 - val_loss: 10.1943 - val_mae: 10.8564 - 3s/epoch - 253ms/step\n","Epoch 49/125\n","10/10 - 3s - loss: 9.6146 - mae: 10.2699 - val_loss: 10.1167 - val_mae: 10.7768 - 3s/epoch - 260ms/step\n","Epoch 50/125\n","10/10 - 3s - loss: 9.8638 - mae: 10.5280 - val_loss: 10.5385 - val_mae: 11.2129 - 3s/epoch - 255ms/step\n","Epoch 51/125\n","10/10 - 3s - loss: 10.1735 - mae: 10.8329 - val_loss: 10.0353 - val_mae: 10.6867 - 3s/epoch - 293ms/step\n","Epoch 52/125\n","10/10 - 4s - loss: 9.8671 - mae: 10.5344 - val_loss: 11.2490 - val_mae: 11.9346 - 4s/epoch - 386ms/step\n","Epoch 53/125\n","10/10 - 3s - loss: 9.6721 - mae: 10.3283 - val_loss: 11.2328 - val_mae: 11.9147 - 3s/epoch - 251ms/step\n","Epoch 54/125\n","10/10 - 3s - loss: 10.2159 - mae: 10.8804 - val_loss: 10.5260 - val_mae: 11.1719 - 3s/epoch - 254ms/step\n","Epoch 55/125\n","10/10 - 3s - loss: 10.1407 - mae: 10.7974 - val_loss: 10.0613 - val_mae: 10.7158 - 3s/epoch - 266ms/step\n","Epoch 56/125\n","10/10 - 3s - loss: 9.5724 - mae: 10.2404 - val_loss: 10.8011 - val_mae: 11.4691 - 3s/epoch - 300ms/step\n","Epoch 57/125\n","10/10 - 4s - loss: 10.5383 - mae: 11.2055 - val_loss: 10.6413 - val_mae: 11.3115 - 4s/epoch - 381ms/step\n","Epoch 58/125\n","10/10 - 3s - loss: 10.0545 - mae: 10.7128 - val_loss: 10.6686 - val_mae: 11.3359 - 3s/epoch - 259ms/step\n","Epoch 59/125\n","10/10 - 3s - loss: 9.9160 - mae: 10.5806 - val_loss: 10.2554 - val_mae: 10.9328 - 3s/epoch - 259ms/step\n","Epoch 60/125\n","10/10 - 3s - loss: 10.1279 - mae: 10.7966 - val_loss: 11.7530 - val_mae: 12.4277 - 3s/epoch - 252ms/step\n","Epoch 61/125\n","10/10 - 3s - loss: 9.6274 - mae: 10.2819 - val_loss: 10.7627 - val_mae: 11.4486 - 3s/epoch - 337ms/step\n","Epoch 62/125\n","10/10 - 3s - loss: 9.3889 - mae: 10.0498 - val_loss: 11.3709 - val_mae: 12.0511 - 3s/epoch - 346ms/step\n","Epoch 63/125\n","10/10 - 3s - loss: 9.7342 - mae: 10.3892 - val_loss: 11.1763 - val_mae: 11.8441 - 3s/epoch - 255ms/step\n","Epoch 64/125\n","10/10 - 3s - loss: 9.1386 - mae: 9.7976 - val_loss: 10.6865 - val_mae: 11.3742 - 3s/epoch - 257ms/step\n","Epoch 65/125\n","10/10 - 3s - loss: 8.9395 - mae: 9.6035 - val_loss: 11.1556 - val_mae: 11.8263 - 3s/epoch - 253ms/step\n","Epoch 66/125\n","10/10 - 4s - loss: 9.1356 - mae: 9.7859 - val_loss: 10.4798 - val_mae: 11.1552 - 4s/epoch - 351ms/step\n","Epoch 67/125\n","10/10 - 3s - loss: 8.7666 - mae: 9.4271 - val_loss: 10.9602 - val_mae: 11.6438 - 3s/epoch - 330ms/step\n","Epoch 68/125\n","10/10 - 2s - loss: 8.9130 - mae: 9.5696 - val_loss: 11.0098 - val_mae: 11.6985 - 2s/epoch - 249ms/step\n","Epoch 69/125\n","10/10 - 3s - loss: 9.4375 - mae: 10.1019 - val_loss: 10.7734 - val_mae: 11.4294 - 3s/epoch - 256ms/step\n","Epoch 70/125\n","10/10 - 3s - loss: 8.8514 - mae: 9.5024 - val_loss: 11.0251 - val_mae: 11.7133 - 3s/epoch - 257ms/step\n","Epoch 71/125\n","10/10 - 4s - loss: 8.5838 - mae: 9.2459 - val_loss: 11.1294 - val_mae: 11.8182 - 4s/epoch - 392ms/step\n","Epoch 72/125\n","10/10 - 3s - loss: 8.7438 - mae: 9.3912 - val_loss: 11.0238 - val_mae: 11.7017 - 3s/epoch - 294ms/step\n","Epoch 73/125\n","10/10 - 2s - loss: 9.5940 - mae: 10.2522 - val_loss: 11.4362 - val_mae: 12.0984 - 2s/epoch - 250ms/step\n","Epoch 74/125\n","10/10 - 3s - loss: 9.9480 - mae: 10.6202 - val_loss: 11.2458 - val_mae: 11.9215 - 3s/epoch - 251ms/step\n","Epoch 75/125\n","10/10 - 3s - loss: 9.5532 - mae: 10.2192 - val_loss: 11.7914 - val_mae: 12.4769 - 3s/epoch - 257ms/step\n","Epoch 76/125\n","10/10 - 4s - loss: 9.3093 - mae: 9.9763 - val_loss: 12.3670 - val_mae: 13.0482 - 4s/epoch - 394ms/step\n","Epoch 77/125\n","10/10 - 3s - loss: 8.9489 - mae: 9.6166 - val_loss: 10.9823 - val_mae: 11.6434 - 3s/epoch - 283ms/step\n","Epoch 78/125\n","10/10 - 3s - loss: 8.6278 - mae: 9.2782 - val_loss: 10.6885 - val_mae: 11.3424 - 3s/epoch - 254ms/step\n","Epoch 79/125\n","10/10 - 3s - loss: 8.7884 - mae: 9.4380 - val_loss: 11.9772 - val_mae: 12.6509 - 3s/epoch - 260ms/step\n","Epoch 80/125\n","10/10 - 3s - loss: 8.4454 - mae: 9.0916 - val_loss: 11.5655 - val_mae: 12.2423 - 3s/epoch - 256ms/step\n","Epoch 81/125\n","10/10 - 4s - loss: 9.0275 - mae: 9.6871 - val_loss: 10.3882 - val_mae: 11.0511 - 4s/epoch - 411ms/step\n","Epoch 82/125\n","10/10 - 3s - loss: 8.3831 - mae: 9.0370 - val_loss: 11.9004 - val_mae: 12.5816 - 3s/epoch - 260ms/step\n","Epoch 83/125\n","10/10 - 2s - loss: 8.2811 - mae: 8.9326 - val_loss: 11.7697 - val_mae: 12.4382 - 2s/epoch - 245ms/step\n","Epoch 84/125\n","10/10 - 2s - loss: 8.3119 - mae: 8.9710 - val_loss: 11.9514 - val_mae: 12.6374 - 2s/epoch - 246ms/step\n","Epoch 85/125\n","10/10 - 2s - loss: 8.2870 - mae: 8.9483 - val_loss: 11.2901 - val_mae: 11.9686 - 2s/epoch - 247ms/step\n","Epoch 86/125\n","10/10 - 4s - loss: 8.7010 - mae: 9.3652 - val_loss: 11.4858 - val_mae: 12.1611 - 4s/epoch - 404ms/step\n","Epoch 87/125\n","10/10 - 3s - loss: 7.9297 - mae: 8.5807 - val_loss: 12.3471 - val_mae: 13.0363 - 3s/epoch - 274ms/step\n","Epoch 88/125\n","10/10 - 3s - loss: 8.0447 - mae: 8.6990 - val_loss: 12.1424 - val_mae: 12.8237 - 3s/epoch - 259ms/step\n","Epoch 89/125\n","10/10 - 3s - loss: 8.1934 - mae: 8.8556 - val_loss: 11.6661 - val_mae: 12.3409 - 3s/epoch - 255ms/step\n","Epoch 90/125\n","10/10 - 3s - loss: 8.2842 - mae: 8.9276 - val_loss: 11.4793 - val_mae: 12.1459 - 3s/epoch - 259ms/step\n","Epoch 91/125\n","10/10 - 4s - loss: 8.1932 - mae: 8.8369 - val_loss: 11.5439 - val_mae: 12.2255 - 4s/epoch - 433ms/step\n","Epoch 92/125\n","10/10 - 3s - loss: 8.1134 - mae: 8.7671 - val_loss: 11.9976 - val_mae: 12.6712 - 3s/epoch - 253ms/step\n","Epoch 93/125\n","10/10 - 3s - loss: 8.0888 - mae: 8.7400 - val_loss: 12.8835 - val_mae: 13.5432 - 3s/epoch - 251ms/step\n","Epoch 94/125\n","10/10 - 2s - loss: 7.9692 - mae: 8.6180 - val_loss: 12.9270 - val_mae: 13.6115 - 2s/epoch - 249ms/step\n","Epoch 95/125\n","10/10 - 3s - loss: 8.3758 - mae: 9.0379 - val_loss: 12.0963 - val_mae: 12.7618 - 3s/epoch - 265ms/step\n","Epoch 96/125\n","10/10 - 4s - loss: 7.7263 - mae: 8.3760 - val_loss: 13.2173 - val_mae: 13.8913 - 4s/epoch - 409ms/step\n","Epoch 97/125\n","10/10 - 3s - loss: 7.6261 - mae: 8.2722 - val_loss: 12.2971 - val_mae: 12.9817 - 3s/epoch - 256ms/step\n","Epoch 98/125\n","10/10 - 2s - loss: 7.7719 - mae: 8.4217 - val_loss: 12.6858 - val_mae: 13.3621 - 2s/epoch - 249ms/step\n","Epoch 99/125\n","10/10 - 3s - loss: 8.5157 - mae: 9.1817 - val_loss: 12.7154 - val_mae: 13.3975 - 3s/epoch - 252ms/step\n","Epoch 100/125\n","10/10 - 3s - loss: 7.9379 - mae: 8.5893 - val_loss: 12.5730 - val_mae: 13.2497 - 3s/epoch - 303ms/step\n","Epoch 101/125\n","10/10 - 4s - loss: 8.6502 - mae: 9.3116 - val_loss: 13.3777 - val_mae: 14.0637 - 4s/epoch - 387ms/step\n","Epoch 102/125\n","10/10 - 3s - loss: 7.7225 - mae: 8.3704 - val_loss: 13.7073 - val_mae: 14.3717 - 3s/epoch - 252ms/step\n","Epoch 103/125\n","10/10 - 3s - loss: 7.8694 - mae: 8.5237 - val_loss: 13.5440 - val_mae: 14.2111 - 3s/epoch - 252ms/step\n","Epoch 104/125\n","10/10 - 2s - loss: 7.1496 - mae: 7.8050 - val_loss: 13.3752 - val_mae: 14.0501 - 2s/epoch - 249ms/step\n","Epoch 105/125\n","10/10 - 3s - loss: 6.9644 - mae: 7.6175 - val_loss: 12.5119 - val_mae: 13.1933 - 3s/epoch - 306ms/step\n","Epoch 106/125\n","10/10 - 4s - loss: 6.7109 - mae: 7.3588 - val_loss: 13.4851 - val_mae: 14.1514 - 4s/epoch - 383ms/step\n","Epoch 107/125\n","10/10 - 3s - loss: 7.1198 - mae: 7.7707 - val_loss: 13.1215 - val_mae: 13.7948 - 3s/epoch - 253ms/step\n","Epoch 108/125\n","10/10 - 3s - loss: 7.2491 - mae: 7.9068 - val_loss: 12.9170 - val_mae: 13.5929 - 3s/epoch - 253ms/step\n","Epoch 109/125\n","10/10 - 3s - loss: 6.9469 - mae: 7.6014 - val_loss: 12.9395 - val_mae: 13.6061 - 3s/epoch - 252ms/step\n","Epoch 110/125\n","10/10 - 3s - loss: 6.8598 - mae: 7.5091 - val_loss: 14.2586 - val_mae: 14.9468 - 3s/epoch - 323ms/step\n","Epoch 111/125\n","10/10 - 4s - loss: 6.8040 - mae: 7.4587 - val_loss: 12.8793 - val_mae: 13.5564 - 4s/epoch - 358ms/step\n","Epoch 112/125\n","10/10 - 3s - loss: 6.7464 - mae: 7.3928 - val_loss: 13.3857 - val_mae: 14.0671 - 3s/epoch - 250ms/step\n","Epoch 113/125\n","10/10 - 3s - loss: 6.9460 - mae: 7.5884 - val_loss: 13.1184 - val_mae: 13.7893 - 3s/epoch - 251ms/step\n","Epoch 114/125\n","10/10 - 2s - loss: 6.4969 - mae: 7.1298 - val_loss: 13.9912 - val_mae: 14.6547 - 2s/epoch - 248ms/step\n","Epoch 115/125\n","10/10 - 3s - loss: 6.1384 - mae: 6.7858 - val_loss: 13.7045 - val_mae: 14.3797 - 3s/epoch - 334ms/step\n","Epoch 116/125\n","10/10 - 3s - loss: 5.9754 - mae: 6.6141 - val_loss: 14.4669 - val_mae: 15.1483 - 3s/epoch - 335ms/step\n","Epoch 117/125\n","10/10 - 3s - loss: 6.3066 - mae: 6.9462 - val_loss: 13.0625 - val_mae: 13.7348 - 3s/epoch - 253ms/step\n","Epoch 118/125\n","10/10 - 3s - loss: 6.2216 - mae: 6.8579 - val_loss: 13.5690 - val_mae: 14.2444 - 3s/epoch - 262ms/step\n","Epoch 119/125\n","10/10 - 3s - loss: 5.9219 - mae: 6.5661 - val_loss: 13.2395 - val_mae: 13.9302 - 3s/epoch - 252ms/step\n","Epoch 120/125\n","10/10 - 4s - loss: 5.6682 - mae: 6.3110 - val_loss: 14.7744 - val_mae: 15.4445 - 4s/epoch - 356ms/step\n","Epoch 121/125\n","10/10 - 3s - loss: 6.0687 - mae: 6.7144 - val_loss: 13.0033 - val_mae: 13.6893 - 3s/epoch - 319ms/step\n","Epoch 122/125\n","10/10 - 3s - loss: 5.9400 - mae: 6.5793 - val_loss: 12.8599 - val_mae: 13.5450 - 3s/epoch - 263ms/step\n","Epoch 123/125\n","10/10 - 3s - loss: 5.7267 - mae: 6.3643 - val_loss: 13.3269 - val_mae: 14.0035 - 3s/epoch - 257ms/step\n","Epoch 124/125\n","10/10 - 3s - loss: 5.5616 - mae: 6.1915 - val_loss: 12.7213 - val_mae: 13.3915 - 3s/epoch - 257ms/step\n","Epoch 125/125\n","10/10 - 4s - loss: 5.6215 - mae: 6.2584 - val_loss: 13.1356 - val_mae: 13.7975 - 4s/epoch - 372ms/step\n","\n","0\n","huber_loss\n","1\n","mean_squared_error\n","2\n","mean_absolute_error\n","3\n","log_cosh\n","Figure(2400x2000)\n"]}],"source":["!python /content/drive/MyDrive/DH302_Project/MTVital_main/Code/train.py --mode='hr' --dataset='mths' --downsample=2 --timelen=10 --batchsize=32 --epochs=125 --testsize=0.2 --valsize=0.15 --savedir='content/MTHS_Models/'"]},{"cell_type":"markdown","source":["##Evaluating our Models"],"metadata":{"id":"oY_gS9lYYeRt"}},{"cell_type":"code","source":["!python /content/drive/MyDrive/DH302_Project/MTVital_main/Code/evaluate.py --mode='hr' --dataset='mths' --downsample=2 --timelen=10  --testsize=0.2 --valsize=0.15 --savedir='content/MTHS_Models/' --saveplot='./'"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gj10E3D7-vOn","executionInfo":{"status":"ok","timestamp":1698565915933,"user_tz":-330,"elapsed":32623,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"}},"outputId":"d05a78ff-ac43-47a2-972c-2b3d42dac999"},"execution_count":32,"outputs":[{"output_type":"stream","name":"stdout","text":["2023-10-29 07:51:19.615768: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n","2023-10-29 07:51:19.615835: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n","2023-10-29 07:51:19.615880: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","2023-10-29 07:51:19.628722: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n","To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n","2023-10-29 07:51:21.562388: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n","Each sample's input signal sequence length would be 150\n","X, y train shapes =  ((315, 150, 1), (315,))\n","X, y valid shapes =  ((56, 150, 1), (56,))\n","X, y test shapes =  ((93, 150, 1), (93,))\n","Evaluating BASE with huber_loss\n","3/3 [==============================] - 0s 6ms/step - loss: 11.7933 - mae: 12.2871\n","\n","Evaluating BASE with mean_squared_error\n","3/3 [==============================] - 0s 4ms/step - loss: 194.1279 - mae: 10.5610\n","\n","Evaluating BASE with mean_absolute_error\n","3/3 [==============================] - 0s 4ms/step - loss: 11.4573 - mae: 11.4573\n","\n","Evaluating BASE with log_cosh\n","3/3 [==============================] - 0s 3ms/step - loss: 10.7330 - mae: 11.4013\n","\n","Evaluating FCN with huber_loss\n","WARNING:tensorflow:5 out of the last 13 calls to <function Model.make_test_function.<locals>.test_function at 0x799e6ac17a30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.\n","3/3 [==============================] - 0s 3ms/step - loss: 9.0555 - mae: 9.5436\n","\n","Evaluating FCN with mean_squared_error\n","WARNING:tensorflow:5 out of the last 13 calls to <function Model.make_test_function.<locals>.test_function at 0x799e6a848d30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.\n","3/3 [==============================] - 0s 4ms/step - loss: 154.1780 - mae: 9.3894\n","\n","Evaluating FCN with mean_absolute_error\n","3/3 [==============================] - 0s 4ms/step - loss: 8.9388 - mae: 8.9388\n","\n","Evaluating FCN with log_cosh\n","3/3 [==============================] - 0s 4ms/step - loss: 8.3754 - mae: 9.0400\n","\n","Evaluating FCN_Residual with huber_loss\n","3/3 [==============================] - 0s 11ms/step - loss: 6.2874 - mae: 6.7612\n","\n","Evaluating FCN_Residual with mean_squared_error\n","3/3 [==============================] - 0s 11ms/step - loss: 96.2849 - mae: 7.2032\n","\n","Evaluating FCN_Residual with mean_absolute_error\n","3/3 [==============================] - 0s 11ms/step - loss: 6.9174 - mae: 6.9174\n","\n","Evaluating FCN_Residual with log_cosh\n","3/3 [==============================] - 1s 18ms/step - loss: 5.8672 - mae: 6.5016\n","\n","Evaluating FCN_DCT with huber_loss\n","3/3 [==============================] - 0s 9ms/step - loss: 10.1353 - mae: 10.6329\n","\n","Evaluating FCN_DCT with mean_squared_error\n","3/3 [==============================] - 1s 9ms/step - loss: 170.1613 - mae: 10.5086\n","\n","Evaluating FCN_DCT with mean_absolute_error\n","3/3 [==============================] - 0s 6ms/step - loss: 11.1324 - mae: 11.1324\n","\n","Evaluating FCN_DCT with log_cosh\n","3/3 [==============================] - 0s 5ms/step - loss: 9.4583 - mae: 10.1346\n","\n","Evaluating LSTM with huber_loss\n","3/3 [==============================] - 2s 54ms/step - loss: 9.3815 - mae: 9.8764\n","\n","Evaluating LSTM with mean_squared_error\n","3/3 [==============================] - 1s 53ms/step - loss: 155.9810 - mae: 9.7574\n","\n","Evaluating LSTM with mean_absolute_error\n","3/3 [==============================] - 1s 52ms/step - loss: 11.1485 - mae: 11.1485\n","\n","Evaluating LSTM with log_cosh\n","3/3 [==============================] - 2s 95ms/step - loss: 9.6416 - mae: 10.3053\n","\n","Shape of results:  20\n","[[11.793268203735352, 12.287071228027344], [194.1278533935547, 10.561013221740723], [11.457258224487305, 11.457258224487305], [10.732973098754883, 11.401307106018066], [9.055461883544922, 9.543588638305664], [154.17800903320312, 9.38935661315918], [8.938828468322754, 8.938828468322754], [8.375375747680664, 9.04004192352295], [6.287416458129883, 6.761185169219971], [96.28490447998047, 7.20315408706665], [6.917420864105225, 6.917420864105225], [5.867217540740967, 6.501621246337891], [10.135298728942871, 10.632874488830566], [170.1612548828125, 10.508612632751465], [11.132408142089844, 11.132408142089844], [9.458270072937012, 10.134614944458008], [9.381539344787598, 9.876363754272461], [155.98101806640625, 9.757430076599121], [11.148489952087402, 11.148489952087402], [9.641550064086914, 10.305290222167969]]\n","3/3 [==============================] - 1s 16ms/step\n","Figure(1200x600)\n","Figure(1200x1000)\n"]}]},{"cell_type":"markdown","source":["#Training and Evaluation on BIDMC Dataset"],"metadata":{"id":"LoEk10AapBrA"}},{"cell_type":"markdown","source":["##Training the Models with different Loss functions\n","\n","---\n","- $\\frac{30}{2} ≈ \\frac{125}{8}$: Hence we downsample by 8"],"metadata":{"id":"Ub3WFu_PpBrB"}},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6681,"status":"ok","timestamp":1698563613254,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"},"user_tz":-330},"outputId":"542ac052-8ab7-4d15-f3ce-101bd4de4507","id":"kpEbfVrtpBrB"},"outputs":[{"output_type":"stream","name":"stdout","text":["2023-10-29 07:13:23.346271: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n","2023-10-29 07:13:23.346339: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n","2023-10-29 07:13:23.346395: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","2023-10-29 07:13:23.361273: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n","To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n","2023-10-29 07:13:25.134205: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n","Traceback (most recent call last):\n","  File \"/content/drive/MyDrive/DH302_Project/MTVital_main/Code/train2.py\", line 50, in <module>\n","    x_train, y_train, x_valid, y_valid, x_test, y_test = loader2.load_bidmc_data(dwn_factor=int(DOWNSAMPLE_FACTOR), time_length=int(TIME_LENGTH), testset_size=TEST_SIZE, validset_proportion=VALID_SIZE)\n","  File \"/content/drive/MyDrive/DH302_Project/MTVital_main/Code/data_loader_bidmc.py\", line 13, in load_bidmc_data\n","    ppg_signal, hr_spo2_label, ages, genders = load_bidmc(downsample_factor=dwn_factor, conseq_seq=time_length)\n","  File \"/content/drive/MyDrive/DH302_Project/MTVital_main/Code/data_loader_bidmc.py\", line 52, in load_bidmc\n","    signals = pd.read_csv(path + 'bidmc_{:02d}_Signals.csv'.format(i))\n","  File \"/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py\", line 211, in wrapper\n","    return func(*args, **kwargs)\n","  File \"/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py\", line 331, in wrapper\n","    return func(*args, **kwargs)\n","  File \"/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\", line 950, in read_csv\n","    return _read(filepath_or_buffer, kwds)\n","  File \"/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\", line 611, in _read\n","    return parser.read(nrows)\n","  File \"/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\", line 1778, in read\n","    ) = self._engine.read(  # type: ignore[attr-defined]\n","  File \"/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/c_parser_wrapper.py\", line 230, in read\n","    chunks = self._reader.read_low_memory(nrows)\n","  File \"pandas/_libs/parsers.pyx\", line 808, in pandas._libs.parsers.TextReader.read_low_memory\n","  File \"pandas/_libs/parsers.pyx\", line 890, in pandas._libs.parsers.TextReader._read_rows\n","  File \"pandas/_libs/parsers.pyx\", line 1037, in pandas._libs.parsers.TextReader._convert_column_data\n","  File \"pandas/_libs/parsers.pyx\", line 1083, in pandas._libs.parsers.TextReader._convert_tokens\n","  File \"pandas/_libs/parsers.pyx\", line 1158, in pandas._libs.parsers.TextReader._convert_with_dtype\n","  File \"/usr/local/lib/python3.10/dist-packages/pandas/core/dtypes/common.py\", line 1433, in is_extension_array_dtype\n","    def is_extension_array_dtype(arr_or_dtype) -> bool:\n","KeyboardInterrupt\n","^C\n"]}],"source":["!python /content/drive/MyDrive/DH302_Project/MTVital_main/Code/train2.py --mode='hr' --dataset='bidmc' --downsample=8 --timelen=10 --batchsize=32 --epochs=10 --testsize=0.2 --valsize=0.15 --savedir='content/BIDMC_Models/'"]},{"cell_type":"markdown","source":["##Evaluating our Models"],"metadata":{"id":"A-6xXnN-pBrB"}},{"cell_type":"code","source":["!python /content/drive/MyDrive/DH302_Project/MTVital_main/Code/evaluate2.py  --mode='hr' --dataset='bidmc' --downsample=8 --timelen=10  --testsize=0.2 --valsize=0.15 --savedir='content/BIDMC_Models/' --saveplot='./'"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1698562169618,"user_tz":-330,"elapsed":43172,"user":{"displayName":"Sanket Potdar","userId":"06387457101229148394"}},"outputId":"160c5037-047a-42e4-fcf2-89b3970e1da8","id":"IQQYxG0cpBrB"},"execution_count":26,"outputs":[{"output_type":"stream","name":"stdout","text":["2023-10-29 06:48:42.788245: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n","2023-10-29 06:48:42.788305: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n","2023-10-29 06:48:42.788352: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","2023-10-29 06:48:42.798295: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n","To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n","2023-10-29 06:48:44.089605: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n","(2544, 156)\n","(2544, 156, 1)\n","X, y train shapes =  ((1729, 156, 1), (1729,))\n","X, y valid shapes =  ((306, 156, 1), (306,))\n","X, y test shapes =  ((509, 156, 1), (509,))\n","Evaluating BASE with huber_loss\n","16/16 [==============================] - 0s 4ms/step - loss: 2.6856 - mae: 3.1411\n","\n","Evaluating BASE with mean_squared_error\n","16/16 [==============================] - 0s 3ms/step - loss: 24.2530 - mae: 3.5024\n","\n","Evaluating BASE with mean_absolute_error\n","16/16 [==============================] - 0s 3ms/step - loss: 2.6661 - mae: 2.6661\n","\n","Evaluating BASE with log_cosh\n","16/16 [==============================] - 0s 3ms/step - loss: 2.0320 - mae: 2.5877\n","\n","Evaluating FCN with huber_loss\n","16/16 [==============================] - 0s 3ms/step - loss: 2.5675 - mae: 3.0174\n","\n","Evaluating FCN with mean_squared_error\n","16/16 [==============================] - 0s 3ms/step - loss: 30.2130 - mae: 3.7196\n","\n","Evaluating FCN with mean_absolute_error\n","16/16 [==============================] - 0s 3ms/step - loss: 3.1246 - mae: 3.1246\n","\n","Evaluating FCN with log_cosh\n","16/16 [==============================] - 0s 3ms/step - loss: 2.3608 - mae: 2.9409\n","\n","Evaluating FCN_Residual with huber_loss\n","16/16 [==============================] - 1s 10ms/step - loss: 1.1928 - mae: 1.5652\n","\n","Evaluating FCN_Residual with mean_squared_error\n","16/16 [==============================] - 1s 10ms/step - loss: 9.5592 - mae: 1.9048\n","\n","Evaluating FCN_Residual with mean_absolute_error\n","16/16 [==============================] - 1s 18ms/step - loss: 1.7530 - mae: 1.7530\n","\n","Evaluating FCN_Residual with log_cosh\n","16/16 [==============================] - 1s 18ms/step - loss: 1.3070 - mae: 1.7992\n","\n","Evaluating FCN_DCT with huber_loss\n","16/16 [==============================] - 1s 8ms/step - loss: 4.1214 - mae: 4.5859\n","\n","Evaluating FCN_DCT with mean_squared_error\n","16/16 [==============================] - 1s 7ms/step - loss: 26.1824 - mae: 3.4165\n","\n","Evaluating FCN_DCT with mean_absolute_error\n","16/16 [==============================] - 0s 5ms/step - loss: 3.6807 - mae: 3.6807\n","\n","Evaluating FCN_DCT with log_cosh\n","16/16 [==============================] - 0s 4ms/step - loss: 3.1454 - mae: 3.7308\n","\n","Evaluating LSTM with huber_loss\n","16/16 [==============================] - 2s 54ms/step - loss: 1.9841 - mae: 2.4300\n","\n","Evaluating LSTM with mean_squared_error\n","16/16 [==============================] - 3s 53ms/step - loss: 10.5369 - mae: 2.0897\n","\n","Evaluating LSTM with mean_absolute_error\n","16/16 [==============================] - 3s 94ms/step - loss: 1.8484 - mae: 1.8484\n","\n","Evaluating LSTM with log_cosh\n","16/16 [==============================] - 2s 55ms/step - loss: 1.3597 - mae: 1.8297\n","\n","Shape of results:  20\n","[[2.685649871826172, 3.14109468460083], [24.252986907958984, 3.5023996829986572], [2.666100025177002, 2.666100025177002], [2.031975507736206, 2.5876965522766113], [2.56746768951416, 3.017359495162964], [30.213014602661133, 3.719590425491333], [3.1245598793029785, 3.1245598793029785], [2.3608033657073975, 2.9408535957336426], [1.1928045749664307, 1.5651706457138062], [9.559226989746094, 1.9047516584396362], [1.7529637813568115, 1.7529637813568115], [1.3070132732391357, 1.799239993095398], [4.121395587921143, 4.585944652557373], [26.182432174682617, 3.416480302810669], [3.680680751800537, 3.680680751800537], [3.1453874111175537, 3.7307841777801514], [1.9841116666793823, 2.43001651763916], [10.536908149719238, 2.0896642208099365], [1.8484182357788086, 1.8484182357788086], [1.359703540802002, 1.8296548128128052]]\n","16/16 [==============================] - 0s 10ms/step\n","Figure(1200x600)\n","Figure(1200x1000)\n"]}]}]}